Abderahman Rejeb a , Alireza Abdollahi b , Karim Rejeb c , Horst Treiblmaier d,
- a Dhipatimendi reKutarisira uye Mutemo, Faculty of Economics, University of Rome Tor Vergata, Via Columbia, 2, Rome 00133, Italy
- b Dhipatimendi reBusiness Administration, Faculty of Management, Kharazmi University, 1599964511 Tehran, Iran
- c Faculty of Sciences yeBizerte, Yunivhesiti yeCarthage, Zarzouna, 7021 Bizerte, Tunisia
- d Chikoro cheInternational Management, Modul University Vienna, Am Kahlenberg 1, 1190 Vienna, Austria
NYAYA INFO | KUTANGA |
Keywords: Drones UAV Precision kurima Internet Zvinhu Bibliometrics | Drones, inonziwo Unmanned Aerial Vehicles (UAV), yaona budiriro inoshamisa mumakumi emakore achangopfuura. Mune zvekurima, vakashandura maitiro ekurima nekupa varimi mari yakawanda yekuchengetedza, yakawedzera kushanda zvakanaka, uye kuita purofiti iri nani. Mumakumi emakore apfuura, musoro wezvekurima drones une yakakwezva ngwariro inoshamisa muzvidzidzo. Naizvozvo isu tinoitisa ongororo yakazara yakavakirwa pabibliometrics kupfupikisa uye kuronga mabhuku ezvidzidzo aripo uye kuratidza maitiro ekutsvaga uye hotspots. Isu shandisa maitiro ebhaibheri uye ongorora zvinyorwa zvakatenderedza zvekurima drones kupfupikisa uye ongorora tsvakiridzo yapfuura. Ongororo yedu inoratidza kuti kuona kure, kurima chaiko, kudzidza kwakadzama, kudzidza muchina, uye Internet yeZvinhu misoro yakakosha ine chekuita nekurima drones. The co-citation ongororo inoburitsa matanhatu masumbu ekutsvagisa mumabhuku. Ichi chidzidzo ndeimwe yekuedza kwekutanga kupfupisa tsvakiridzo yedrone mune zvekurima uye kupa zano remangwana rekutsvagisa nzira. |
ziviso
Zvekurima zvinomiririra iyo yekutanga chikafu chepasirese (Friha et al., 2021), uye yanga ichitarisana nematambudziko makukutu nekuda kwe
kuwedzera kudiwa kwezvigadzirwa zvechikafu, kuchengetedzwa kwechikafu, uye kuchengetedzeka kunetseka pamwe nekudaidza kuchengetedzwa kwezvakatipoteredza, kuchengetedza mvura, uye
kusimudzira (Inoue, 2020). Iyi budiriro inofungidzirwa kuti ichaenderera mberi sezvo huwandu hwepasi rose hunofungidzirwa kusvika mabhiriyoni 9.7 panosvika 2050
(2019). Sezvo kurima kuri kuita muenzaniso wakatanhamara wekushandiswa kwemvura pasi rose, zvinotarisirwa kuti kudiwa kwechikafu nemvura
kushandiswa kuchawedzera zvinoshamisa mune ramangwana rinoonekwa. Uyezve, kuwedzera kushandiswa kwefetereza nemishonga yezvipembenene
pamwe chete nekusimbaradza kwemabasa ekurima zvinogona kukonzera matambudziko mune remangwana rezvakatipoteredza. Saizvozvo, ivhu rekurima rakaganhurirwa, uye iyo
nhamba yevarimi iri kudzikira pasi rose. Zvinetso izvi zvinosimbisa kudiwa kwezvigadziriso zvekurima zvekurima (Eriya
nevamwe, 2018; Friha et al., 2021; Inoue, 2020; Tzounis et al., 2017).
Kubatanidza matekinoroji matekinoroji kwakaonekwa semhinduro inovimbisa kugadzirisa matambudziko aya. Kurima kwakangwara (Brewster et al.,
2017; Tang et al., 2021) uye zvekurima chaiko (Feng et al., 2019; Khanna & Kaur, 2019) zvakabuda nekuda kwemakakatanwa akadai. The
yekare ipfungwa yakajairwa yekutora ruzivo rwekutaurirana matekinoroji (ICT) uye humwe hunyanzvi hwekuvandudza mumabasa ekurima kuti uwedzere kushanda nesimba uye kushanda nesimba (Haque et al., 2021). Iyo yekupedzisira inotarisa kune saiti-yakananga manejimendi umo ivhu rakakamurwa kuita
zvikamu zvakangofanana, uye chikamu chimwe nechimwe chinowana huwandu chaihwo hwekushandisa kwekurima kwekugadzirisa goho kuburikidza nehunyanzvi hwekuita (Feng et al., 2019; Khanna & Kaur, 2019). Tekinoroji dzakakurumbira dzakakwezva kutarisisa kwenyanzvi mundima iyi dzinosanganisira Wireless Sensor Networks (WSNs) (J. Zheng & Yang, 2018; Y. Zhou et al., 2016), iyo Internet yezvinhu (IoT) (Gill et al., 2017; Iye et al., 2021; Liu et al., 2019),
Artificial Intelligence (AI) maitiro, anosanganisira kudzidza muchina uye kudzidza kwakadzama (Liakos et al., 2018; Parsaeian et al., 2020; Shadrin et al.,
2019), komputa tekinoroji (Hsu et al., 2020; Jinbo et al., 2019; Zamora-Izquierdo et al., 2019), data hombe (Gill et al., 2017; Tantalaki
et al., 2019), uye blockchain (PW Khan et al., 2020; Pincheira et al., 2021).
Pamusoro pematekinoroji ataurwa pamusoro apa, kuona kure kwakaonekwa sechishandiso chetekinoroji chine mukana mukuru wekuvandudza.
kurima kwakangwara uye nemazvo. Satellite, ndege dzinoshandiswa nevanhu, uye drones dzakakurumbira kure-kunzwa matekinoroji (Tsouros et al., 2019).
MaDrones, anonyanya kuzivikanwa seUnmanned Aerial Vehicles (UAVs), Unmanned Aircraft Systems (UAS), uye ndege dzinotyaira dziri kure.
kukosha kukuru sezvo vaine akawanda mabhenefiti mukuenzanisa nemamwe ari kure-inonzwa matekinoroji. Semuenzaniso, drones inogona kuburitsa
mifananidzo yepamusoro-soro uye yepamusoro-soro pamazuva ane makore (Manfreda et al., 2018). Zvakare, kuwanikwa kwavo uye nekumhanyisa kumhanya kunoita zvimwe
mabhenefiti (Radoglou-Grammatikis et al., 2020). Kuenzaniswa nendege, drones inodhura-inoshanda uye iri nyore kumisikidza nekuchengetedza (Tsouros et al., 2019). Kunyangwe ichinyanya kushandiswa kuhondo, ma drones anogona kubatsira akawanda echivanhu, semuenzaniso mukutengesa cheni manejimendi (A. Rejeb, Rejeb, et al., 2021a), nezvinangwa zvekubatsira vanhu (A. Rejeb, Rejeb, et al., 2021c), kurima kwakangwara, kuongorora uye mepu, zvinyorwa zvenhaka yenhaka, manejimendi enjodzi, uye sango nekuchengetedza mhuka dzesango (Panday, Pratihast, et al., 2020). Mukurima, nzvimbo dzakasiyana-siyana dzekushandisa dzemadrones dziripo sezvo dzichigona kubatanidzwa neinoveli tekinoroji, kugona komputa, uye onboard sensors kutsigira manejimendi ezvirimwa (semuenzaniso, mepu, kutarisa, kudiridza, kuongororwa kwechirimwa) (H. Huang et al., 2021) , kuderedza njodzi, masisitimu ekuyambira, mhuka dzesango uye kuchengetedza masango kudoma mashoma (Negash et al., 2019). Saizvozvo, ma drones anogona kukwidziridzwa mumabasa akati wandei ekurima, anosanganisira zvirimwa uye kukura kwekutarisa, fungidziro yegoho, kuongororwa kwekunetseka kwemvura, uye masora, zvipembenene, uye kuona kwechirwere (Inoue, 2020; Panday, Pratihast, et al., 2020). Haisi chete drones inogona kushandiswa pakutarisa, kufungidzira, uye kuona zvinangwa zvinoenderana neruzivo rwavo rwekunzwa, asiwo yekudiridza chaiyo uye chaiyo sora, zvipembenene, uye chirwere chekutonga. Mune mamwe mazwi, drones inokwanisa kupfapfaidza mvura nemishonga yezvipembenene muhuwandu chaihwo hunoenderana nedata rezvakatipoteredza. Zvakanakira drones mune zvekurima zvinopfupikiswa muTafura 1.
Mabhenefiti makuru emadrones mune zvekurima.
Batsirwa | Reference(s) |
Kuvandudza zvenguva uye nzvimbo kunzwa zvisarudzo | (Gago et al., 2015; Niu et al., 2020; Srivastava et al., 2020) |
Ita kuti kurima kuve nemazvo | (L. Deng et al., 2018; Kalischuk et al., 2019; Maimaiitijiang et al., 2017) |
Classification uye kuongorora kwe zvirimwa | (Inoue, 2020; Kalischuk et al., 2019; Lopez- ´ Granados et al., 2016; Maimaiitijiang et al., 2017; Melville et al., 2019; Moharana naDutta, 2016) |
Kushandiswa kwefetereza | (L. Deng et al., 2018; Guan et al., 2019) |
Kuongorora kusanaya kwemvura | (Fawcett et al., 2020; Panday, Pratihast, et al., 2020; Su et al., 2018) |
Biomass estimation | (Bendig et al., 2014) |
Kuyerwa kwegoho | (Inoue, 2020; Panday, Shrestha, et al., 2020; Tao et al., 2020) |
Kuderedza njodzi | (Negash et al., 2019) |
Kuchengetedza mhuka dzesango uye masango | (Negash et al., 2019; Panday, Pratihast, et al., 2020) |
Kuongororwa kwekunetseka kwemvura | (Inoue, 2020; J. Su, Coombes, et al., 2018; L. Zhang et al., 2019) |
Zvipembenene, masora, uye zvirwere kuona | (Ga-sparovic et al., 2020; Inoue, 2020; J. Su, Liu, nevamwe, 2018; X. Zhang et al., 2019) |
Kune rimwe divi, drones inotarisana nekugumira zvakare. Pilot kubatanidzwa, injini simba, kugadzikana uye kuvimbika, sensors 'mhando nekuda kwekubhadhara
kuyerwa kwehuremu, mari yekushandisa, uye mutemo wekufamba nendege, zviri pakati pavo (C. Zhang & Kovacs, 2012). Tinofananidza kukanganisa
yezvitatu zvemamobile sensing tekinoroji muTable 2. Mamwe matekinoroji ekunzwa ari kure, akadai semasensa evhu, ari kunze kwekutarisisa kwechidzidzo ichi.
Kukanganisa kweakasiyana siyana enhare kure ekuona tekinoroji.
Kure kuziva dzemuchina | Shortcomings | References |
Drone (UAV) | Pilot kubatanidzwa; mifananidzo' kunaka (avhareji); kushandisa mari (avhareji); kugadzikana, maneuverability, uye kuvimbika; standardization; injini simba; simba shoma masosi (kureba kwebhatiri); nguva shoma yekubhururuka, kudhumhana uye cyberattacks; limited payload uremu; datasets makuru uye shoma data processing kugona; kushaya mutemo; kushaya hunyanzvi, kupinda kwepamusoro zvipingamupinyi pakuwana drones dzekurima; | (Bacco et al., 2018; Dawaliby nevamwe, 2020; Hardin & Hardin, 2010; Hardin & Jensen, 2011; Lagkas et al., 2018; Laliberte et al., 2007; Laliberte & Rango, 2011; Manfreda et al., 2018, 2018; Nebiker et al., 2008; Puri nevamwe, 2017; Velusamy et al., 2022; C. Zhang naKovacs, 2012) |
setiraiti | Periodic satellite coverage, zvishoma spectral resolution; kusagadzikana kumatambudziko ekuonekwa (semuenzaniso, makore); Kusawanikwa uye yakaderera kufambisa kumhanya; orientation uye vignetting mhedzisiro inodhura nzvimbo data collection; kunonoka kuburitsa data nguva yekugumisa vashandisi | (Aboutalebi et al., 2019; Cen nevamwe, 2019; Chen et al., 2019; Nansen naElliott, 2016; Panday, Pratihast, nevamwe, 2020; Sai Vineeth et al., 2019) |
ndege | Mari yekugamuchira yakakwira; yakaoma set-up; mari yekugadzirisa; kusavapo kwekuvimbika ndege, geometry ye mifananidzo; data isiri yenguva dzose acquisition; kushaya kushanduka; tsaona dzinouraya; sensor data kusiyana-siyana nekuda kwekudengenyeka; georeferencing nyaya | (Armstrong et al., 2011; Atkinson et al., 2018; Barbedo & Koenigkan, 2018; Kovalev & Voroshilova, 2020; Suomalainen et al., 2013; Thamm et al., 2013) |
Sehunyanzvi hwakasiyana-siyana uye hwakasiyana-siyana tekinoroji mune zvekurima, ma drones akaongororwa kubva kwakasiyana maonero. Semuenzaniso, nyanzvi dzakaongorora drone application mune zvekurima (Kulbacki et al., 2018; Mogili & Deepak, 2018), mupiro wavo mukurima chaiko (Puri et al., 2017; Tsouros et al., 2019), kuwirirana kwavo nezvimwe. yekucheka-kumucheto matekinoroji (Al-Thani et al., 2020; Dutta & Mitra, 2021; Nayyar et al., 2020; Saha et al., 2018), uye mikana yekusimudzira kugona kwavo kwekufamba uye kunzwa (Bareth et al. , 2015; Suomalainen et al., 2014). Sezvo tsvakiridzo yekushandiswa kwedrone mune zvekurima yawanda (Khan et al., 2021)), pane chikonzero chekupfupikisa zvinyorwa zviripo uye kuratidza chimiro chehungwaru hwedomeini. Uyezve, semunda wepamusoro-soro une kuvandudzwa kunoramba kuripo, ongororo dzakarongwa dzinoda kuitwa kuti nguva nenguva dzipfupise zvinyorwa zviripo uye kuona mapundu akakosha ekutsvagisa. To
date, kune mashoma maongororo anokurukura mashandisirwo edrone muchikamu chekurima. Semuyenzaniso, Mogili and Deepak (2018) vanoongorora muchidimbu zvinorehwa nedrones pakuongorora zvirimwa uye kumwaya mishonga yezvipembenene. Inoue (2020) anoita ongororo yekushandiswa kwesetiraiti uye drone mukunzwa kure mukurima. Munyori anoongorora matambudziko etekinoroji ekutora kurima kwakangwara uye mipiro yemasatelliti nemadrones zvichibva pazvidzidzo zvezviitiko uye maitiro akanaka. Tsouros et al. (2019) inopfupikisa mhando dzakasiyana dzemadrones uye mashandisirwo awo makuru mukurima, ichiratidza akasiyana nzira dzekutorwa kwedata uye nzira dzekugadzirisa. Munguva pfupi yapfuura, Aslan et al. (2022) yakaita ongororo yakazara yezvikumbiro zveUAV mumabasa ekurima uye yakasimbisa kukosha kwenzvimbo panguva imwe chete uye mepu yeUAV mugreenhouse. Diaz-Gonzalez et al. (2022) yakaongorora zvidzidzo zvenguva pfupi yapfuura zvekugadzirwa kwegoho zvichibva pamakina akasiyana ekudzidza muchina uye kure
sensing systems. Zvavakawana zvakaratidza kuti maUAV anobatsira kufungidzira zviratidzo zvevhu uye kukunda masisitimu esatellite maererano nekugadziriswa kwenzvimbo, nguva yeruzivo, uye kuchinjika. Basiri et al. (2022) yakaita ongororo yakazara yenzira dzakasiyana-siyana uye nzira dzekukunda matambudziko ekuronga nzira kune akawanda-rotor UAVs mumamiriro ekurima chaiko. Uyezve, Awais et al. (2022) yakapfupisa mashandisirwo eUAV kure inonzwa data muzvirimwa kufungidzira mamiriro emvura uye yakapa yakadzama synthesis yeinotarisirwa kugona kweUAV iri kure inonzwa yekurasa kusagadzikana kwekushandisa. Pakupedzisira, Aquilani et al. (2022) yakaongorora matekinoroji ekurima ekurima akashandiswa mumafuro ezvipfuyo masisitimu uye akaona kuti kure kure nekunzwa kunogoneswa nemaUAV kunobatsira pakuongorora biomass uye kutonga kwemombe.
Zvakare, kuedza kushandisa maUAV mukutarisisa, kuronda, uye kuunganidza zvipfuyo kwakataurwa nguva pfupi yadarika.
Kunyangwe ongororo idzi dzichipa ruzivo rutsva uye rwakakosha, hapana ongororo yakazara uye yemazuva ano yakavakirwa pabhaibherimeriki inogona kuwanikwa muzvinyorwa, izvo zvinopa ruzivo rwakajeka gaka. Zvakare, zvakataurwa kuti kana kugadzirwa kwehunyanzvi kuchikura munharaunda yesainzi, zvinova zvakakosha kuti vaongorori vashandise nzira dzekuongorora dzehuwandu kuti vanzwisise chimiro cheruzivo rwenzvimbo (Rivera & Pizam, 2015). Saizvozvowo, Ferreira et al. (2014) vakapokana kuti sezvo nzvimbo dzekutsvagisa dzichikura uye dzichiva dzakaoma kunzwisisa, nyanzvi dzinofanirwa kuvavarira kuti nguva nenguva dziite pfungwa yeruzivo rwunogadzirwa uye kuunganidzwa kuratidza mipiro mitsva, kutora tsika dzetsvagiridzo nemaitiro, kuona kuti ndedzipi misoro inodzidzwa, uye kunyura muchimiro chezivo. ndima uye nzira dzekutsvaga dzinogona kuitika. Nepo Raparelli naBajocco (2019) vakaita ongororo yebhaibheri kuti vaongorore ruzivo rwemashandisirwo ezvidhori mune zvekurima nemasango, kudzidza kwavo kunongoona tsvakiridzo yehunyanzvi yakaburitswa pakati pa1995 na2017, isingaratidzi masimba enzvimbo iyi inofamba nekukurumidza. Kupfuurirazve, vanyori havana kuedza kuona mipiro ine simba kwazvo mumunda, kuunganidza zvinyorwa, uye kuongorora chimiro chepfungwa vachishandisa co-citation analysis. Nekuda kweizvozvo, zvinodikanwa kupfupisa zvinyorwa kuratidza zvazvino tsvakiridzo foci, maitiro, uye hotspots.
Kuzadza iyi gaka reruzivo, isu tinokwidziridza nzira dzehuwandu uye dzakaomarara nzira dzebhaibheri dzekuongorora mamiriro azvino ekutsvagisa pamharadzano yedrones nekurima. Isu tinopokana kuti chidzidzo chazvino chinopa zvakawanda kuzvinyorwa zviripo nekuongorora tekinoroji iri kusimukira inodiwa zvakanyanya mukurima sezvo ichipa mukana wakakura wekushandura zvinhu zvakati wandei muchikamu ichi. Iko kudiwa kwekuongororwa kwebhaibheri kwema drones ezvekurima kunoonekwa zvakanyanya kupihwa ruzivo rwakapararira uye rwakakamurwa pamadrones mukati memamiriro ekurima. Saizvozvo, zvinyorwa zvine chekuita nekurima drones zvinodiwa kuti zvibatanidzwe zvakarongeka, tichifunga nezvezvidzidzo zvine simba zvinovaka hwaro hweiyi ndima yekutsvagisa. Kukodzera mukuongorora kunosanganisirawo kujekeswa kwemadingindira makuru ekutsvagisa anomiririrwa muzvinyorwa. Tichifunga nezve shanduko inogona kuita tekinoroji, isu tinoti ongororo yetiweki yakadzama inoburitsa ruzivo rutsva nekuona mabasa ane simba uye kuburitsa madingindira ane chekuita nekugona kwe drones mukurima.
Naizvozvo tinoyedza kuzadzisa zvinotevera zvinangwa zvekutsvagisa:
- Kuzivikanwa kwezvinyorwa zvine simba zvine mipiro yakatanhamara kune drone application mumunda wekurima.
- Kuunganidzwa kwezvinyorwa, kucherechedzwa kwetsvakiridzo, uye mepu yezvidzidzo zvikuru zve 'intellectual structure' zvichibva pakufanana kwesemantic nekushandisa co-citation ongororo.
- Kunzwisisa kweshanduko yezvibatanidza uye mitsara yetiweki nekufamba kwenguva pakati pezvakasiyana zvinyorwa mumunda uye kuzivikanwa kweremangwana tsvakiridzo nzira uye misoro inopisa.
Mamwe mapepa akarongwa sezvinotevera: chikamu 2 chinotsanangura nzira uye matanho ekuunganidza data; chikamu 3 chinopa mhedzisiro yekuongorora; uye chikamu chechina chinokurukura zvakawanikwa uye chinopedzisa nemipiro yekutsvaga, zvinorehwa, uye mazano emangwana.
Methodology
Muchidzidzo chezvino chekutsvagisa, tinoita ongororo yebhaibheri yekuongorora mashandisirwo edrone mune zvekurima. Iyi nzira yehuwandu inoburitsa chimiro chehungwaru cheiyo ruzivo domain (Arora & Chakraborty, 2021) uye chimiro chazvino, misoro inopisa, uye tsvakiridzo yeramangwana nzira dzinogona kuongororwa nekushandisa nzira iyi (Kapoor et al., 2018; Mishra et al. , 2017; A. Rejeb, Rejeb, et al., 2021b; A. Rejeb et al., 2021d; MA Rejeb et al., 2020). Kazhinji, ongororo yebhaibheri inoongorora zvinyorwa zviripo kupfupikisa nekufumura mapatani akavanzika ekutaura kwakanyorwa uye kushanduka kwechirango chakavakirwa pahuwandu uye nzira dzemasvomhu, uye inoshanda kune akakura data seti (Pritchard, 1969; Diki, 1999; Tahai & Rigsby. , 1998). Nekushandisa bibliometrics, tinoshuvira kunzwisisa zviri nani maparadigms aripo uye foci yekutsvagisa iyo inopa kune iyo dura zvichienderana nekufanana (Thelwall, 2008). Bibliometrics inopa maonero matsva anotsigirwa nechinangwa chehuwandu hwesimba remaitiro (Casillas & Acedo, 2007). Nyanzvi dzakawanda dzakamboitisa zvidzidzo zvebhaibheri mumatunhu ane hukama, kusanganisira zvekurima, kuona kure, uye shanduko yedhijitari (Armenta-Medina et al., 2020; Bouzembrak et al., 2019; A. Rejeb, Treiblmaier, et al., 2021; Wamba & Queiroz, 2021; Wang et al., 2019).
Citation analysis
Citation ongororo inoburitsa maonero akasiyana-siyana mune yakapihwa nzvimbo yekutsvagisa. Chekutanga pane zvese, zvinobatsira kuburitsa vanyori vane simba zvakanyanya uye zvinyorwa zvinobatsira kune yakapihwa nzvimbo yekutsvagisa uye kuita zvakakosha (Gundolf & Filser, 2013). Chechipiri, kuyerera kweruzivo uye hukama hwekukurukurirana pakati pevanyori hunogona kufukunurwa. Chekupedzisira, nekutsvaga hukama pakati peakadudzwa uye anodudza mabasa, munhu anogona kuongorora shanduko uye kushanduka kwenzvimbo yeruzivo nekufamba kwenguva (Pournader
uye al., 2020). Nhamba dzepamusoro dzechinyorwa dzinoratidza kukosha kwayo uye zvakakura mupiro kudunhu rekutsvagisa (Baldi, 1998; Gundolf & Filser, 2013; Marinko, 1998). Citation ongororo yezvinyorwa zvakare inobatsira kuona mabasa akakodzera uye kuona mukurumbira wavo nekufambira mberi nekufamba kwenguva.
Document co-citation analysis
Co-citation ongororo inzira yakakosha yekuongorora hukama pakati pezvinyorwa uye kuratidza chimiro chehungwaru chemunda (Nerur et al., 2008). Mune mamwe mazwi, nekuratidza zvinyorwa zvinonyanya kutaurwa uye kubatana kwavo, nzira yacho inounganidza zvinyorwa mumapoka ekutsvagisa akasiyana umo zvinyorwa zviri musumbu zvinogara zvichigovana pfungwa dzakafanana (McCain, 1990; Diki, 1973). Zvakakosha kutaura kuti kufanana hakurevi kuti zvakawanikwa mumabhuku ndizvo
kubatana uye kubvumirana kune mumwe nemumwe; zvinyorwa zviri muboka rimwe chete nekuda kwekufanana kwemusoro, asi zvinogona kuve nemaonero anopokana.
Data yekuunganidza uye kuongorora
Tichitevera nzira yakatsanangurwa naWhite naGriffith (1981), takaita tsvakiridzo yakazara yezvinyorwa zvemagazini kuti tivhare iyo yese yekutsvagisa dura rekushandisa drone mukurima, tichitevera matanho mashanu anotevera:
- Danho rekutanga raive rekuunganidza data. Scopus yakasarudzwa seimwe yeakazara uye akavimbika dhatabhesi ane akamisikidzwa mhedzisiro. Iyo meta-data yezvinyorwa zvine chekuita nezvese drone application mukurima yakadzoserwa. Takabva taongorora zvinyorwa zvakasarudzwa, tichibvisa zvinyorwa zvisiri zvemusoro kubva pakuongorora.
- Takaongorora zvinyorwa uye takaona mazwi anonyanya kukosha anoshandiswa munzvimbo yekutsvakurudza.
- Tichishandisa ongororo yezvinyorwa, takaongorora hukama pakati pevanyori nemagwaro kuti tiratidze maitiro ezvinyorwa. Takaonawo vanyori vane simba uye zvinyorwa zvine mipiro yakakosha kumunda wezvekurima drones.
- Takaita co-citation ongororo yekubatanidza zvinyorwa zvakafanana mumapoka.
- Pakupedzisira, takaongorora hukama uye hukama pakati penyika, masangano, uye majenari kuratidza network yekubatana.
Kuzivikanwa kwemazwi ekutsvaga akakodzera
Takaisa tambo dzinotevera dzekutsvaga pakuunganidza data: (drone* OR "unmanned aerial vehicle" OR uav* OR "unmanned aircraf system” KANA uas KANA kuti “ndege inoyereswa kure”) UYE (zvekurima KANA kurima KANA kurima KANA murimi) Tsvagiridzo yakaitwa munaGunyana 2021. Drones dzine mazita akati wandei, anosanganisira UAV, UAS, uye nendege iri kure (Sah et al., 2021). Iwo chaiwo ekutsvaga mazwi ane chekuita nekurima akaonekwa zvichibva pakudzidza kwaAbdollahi et al. (2021). Nekuda kujeka uye kubuda pachena, mubvunzo chaiwo watakashandisa unopihwa muAppendikisi 1. Tichitevera nzira yekuchenesa data, takagadzira faira remavara rakazoiswa muBibExcel, chishandiso chakajairika chekuongorora uye co-citation kuongorora. Ichi chishandiso chinopawo kudyidzana kuri nyore nemamwe software uye chinopa dhigirii rakakosha rerusununguko mukubata nekuongorora data. VOSviewer vhezheni 1.6.16 yakashandiswa kuona zvakawanikwa uye kugadzira bhaibheri network (Eck & Waltman, 2009). VOSviewer inopa huwandu hwekuona intuitive, kunyanya yekuongorora mamepu ebhaibheri (Geng et al., 2020). Uyezve, inobatsira mukupa zvakajeka zvinoonekwa mhedzisiro inobatsira mukunzwisisa zvirinani mhedzisiro (Abdollahi et al., 2021). Tichishandisa mitsara yekutsvaga sezvataurwa pamusoro, takaunganidza uye takachengeta zvinyorwa zvese zvinoenderana. Mhinduro dzekutanga dzekutsvaga dzakaburitsa magwaro e5,085. Kuti ive nechokwadi chemhando yemuenzaniso wakasarudzwa, zvinyorwa zvemagazini zvakaongororwa nevezera chete zvakaongororwa mukutsvakurudza, zvichiita kuti kusabatanidzwa kwemamwe marudzi ezvinyorwa, zvakadai semabhuku, zvitsauko, zviitiko zvemusangano, uye zvinyorwa zvekunyora. Panguva yekuongorora, zvisina basa (kureva, kupfuura chiyero chebasa iri), isina basa (kureva, kopi dzakadzokororwa kubva kudouble indexing), uye zvinyorwa zvisiri zveChirungu zvakasefa. Iyi nzira yakaguma nekubatanidzwa kwezvinyorwa zve4,700 mukuongorora kwekupedzisira.
Zvakawanikwa uye nhaurirano
Kutanga, takaongorora zviri kuitika mukuburitswa muzvinyorwa zvazvino zvekurima drones. Kugoverwa kwenguva pfupi kwekutsvakurudza kwenyanzvi kunoratidzwa muFig. 1. Tinoona kuwedzera nokukurumidza kwezvinyorwa kubva mugore ra2011 (30 zvinyorwa) zvichienda mberi; saka, takasarudza kupatsanura nguva yekuongorora mumatanho maviri akasiyana. Isu tinonongedzera kunguva iri pakati pa1990 na2010 sedanho rekuvaka, iro raive nemapepa manomwe anoburitswa gore rega. Iyo post-2010 nguva yave ichinzi nhanho yekukura sezvo tsvakiridzo yekushandiswa kwedrone mune zvekurima yakaona kuwedzera kukuru panguva iyi. Mushure me2010, huwandu huri kuwedzera hwezvinyorwa hunosimbisa kufarira kuri kukura pakati pevaongorori, izvo zvinoratidzawo kuti ma drones akashandiswa kune kure kure nekunzwa uye kushandiswa mukurima chaiko (Deng et al., 2018; Maes & Steppe, 2019; Messina & Modica, 2020 ) Kunyanya, nhamba yezvinyorwa yakasimuka kubva pa108 muna 2013 kusvika 498 muna 2018 uye yakakwira pa1,275 muna 2020. Huwandu hwezvinyorwa zve935 zvakaburitswa pakati paNdira kusvika pakati paGunyana 2021. Mushure meizvozvo, takasarudza kuisa ongororo yedu zvakanyanya padanho rekukura. sezvo nguva iyi inoratidza zvichangobva kuitika uye zvakakosha zvinyengeri zvekurima drones.
Keywords analysis
Iwo makiyi vanyori anosarudzira kudhindwa ane mhedzisiro yakakosha pamamiririro epepa uye kuti rinofambiswa sei munharaunda dzesainzi. Ivo vanocherekedza izvo zvakakosha zvidzidzo zvekutsvaga uye vanoona kugona kwayo kubudirira kana kukundikana (Zuva & Gastel, 1998.; Kim et al., 2016; Uddin et al., 2015). Keywords ongororo, chishandiso kuratidza yakafara tsvakiridzo maitiro uye nhungamiro, inoreva kuunganidzwa kwemazwi akakosha ezvese zvine hukama zvinyorwa mudura (Dixit & Jakhar, 2021). Muchidzidzo chazvino, takakamura mazwi akaunganidzwa kuita seti mbiri (kureva, kusvika 2010 na2011-2021) kuongorora misoro inonyanya kufarirwa. Nekuita izvi, tinogona kuteedzera akakosha mazwi mumaseti ese uye kuvimbisa kuti takatora data rese rinodiwa. Pamusoro peseti imwe neimwe, mazwi gumi epamusoro anoratidzwa muTebhu 3. Takabvisa kusawirirana nekubatanidza semantically yakafanana mazwi, akadai se "drone" uye "drones" kana, zvakafanana, "Internet yezvinhu" uye "IoT.".
Tafura 3 inoratidza kuti "isina kufambisa ndege" ishoko rinonyanya kushandiswa kana richienzaniswa ne "drone" uye "isina kufambisa ndege system" munguva mbiri idzi. Zvakare, "kunzwa kure," "kurima chaiko," uye "kurima" zvakaiswa zvakanyanya muzvikamu zvese zviri zviviri. Muchikamu chekutanga, "kurima kwakanyatsojeka" kwakatora chikamu chechishanu, uye yakatora yechipiri munguva yechipiri, iyo inoratidza kuti drones ari kuwedzera kukosha sei mukubudirira mune zvekurima sezvavanogona kuita kuongorora,
kuona, uye maitiro ekufungidzira nekukurumidza, zvakachipa, uye zviri nyore kuita kana zvichienzaniswa nemamwe maremote-sensing uye pasi-based system. Zvakare, vanogona kupfapfaidza huwandu chaihwo hwekupinza (semuenzaniso, mvura kana mishonga yezvipembenene) pazvinenge zvichidikanwa (Guo et al., 2020; Inoue, 2020; Panday, Pratihast, et al., 2020).
Rondedzero yemazwi anonyanya kushandiswa.
chinzvimbo | 1990-2010 | Kwete zviitiko | 2011-2021 | Kwete zviitiko |
1 | mhepo isina munhu motokari | 28 | zvisina kurongwa motokari yemuchadenga | 1628 |
2 | remote sensing | 7 | zvakarurama kurima | 489 |
3 | kurima | 4 | remote sensing | 399 |
4 | kuenda neherikoputa | 4 | drone the mano | 374 |
5 | zvakarurama kurima | 4 | zvisina kurongwa aerial system | 271 |
6 | mhepo isina munhu | 4 | kurima | 177 |
7 | hyperspectral Switch | 3 | kudzidza zvakadzika | 151 |
8 | Artificial Neural mitambo | 2 | Machine kudzidza | 149 |
9 | autonomous fly | 2 | zvinomera indekisi | 142 |
10 | kofi | 2 | Indaneti ye zvinhu | 124 |
Chimwe chinhu chinonakidza kuvepo kweanopindirana matekinoroji. Muchikamu chekutanga, "Hyperspectral Sensor" uye "artificial neural network" (ANN) ari pakati pemashoko gumi epamusoro. Hyperspectral imaging yakashandura kufungidzira kwechinyakare nekuunganidza huwandu hukuru hwemifananidzo pane akasiyana wavelengths. Mukuita izvi, masensa anogona panguva imwe chete kuunganidza zvirinani zvepamhepo uye ruzivo rwekutarisa kana zvichienzaniswa neakawanda ekufungidzira, spectroscopy, uye RGB mifananidzo (Adao ˜ et al.,
2017). Chiitiko che "ANN" muchikamu chekutanga uye "kudzidza kwakadzama" (DL) uye "kudzidza kwemuchina" (ML) mune yechipiri kunoreva kuti mazhinji emabasa akabudiswa akatarisana nekuongororwa kwekugona kweAI maitiro edrone- based agriculture. Kunyangwe ma drones achikwanisa kubhururuka achizvimirira, achiri kuda kubatanidzwa kwemutyairi wendege, izvo zvinoreva kuderera kwehungwaru hwechishandiso. Nekudaro, dambudziko iri rinogona kugadziriswa nekuda kwekufambira mberi kweAI matekiniki, ayo anogona kupa zvirinani ruzivo rwemamiriro ezvinhu uye kuzvimiririra sarudzo rutsigiro. Yakashongedzerwa neAI, madrones anogona kudzivirira kudhumhana panguva yekufambisa, kuvandudza ivhu uye manejimendi ezvirimwa (Inoue, 2020), uye kuderedza kushanda uye kushushikana kwevanhu (BK Sharma et al., 2019).
Nekuda kwekuchinjika kwavo uye kugona kubata huwandu hwakawanda hwe data isina mutsara, maitiro eAI inzira dzakakodzera dzekuongorora iyo data inofambiswa nemadrones uye mamwe ari kure-inonzwa uye pasi-based masisitimu ekufanotaura nekuita sarudzo (Ali et al., 2015; Inoue, 2020). Uyezve, kuvapo kwe "IoT" munguva yechipiri kunoratidza basa rayo riri kubuda mukurima. IoT iri kushandura zvekurima nekubatanidza mamwe matekinoroji, anosanganisira drones, ML, DL, WSNs, uye data hombe. Imwe yemabhenefiti akakosha ekushandisa IoT kugona kwayo kuita zvakanaka uye zvinobudirira kubatanidza mabasa akasiyana siyana (kutora data, kuongororwa kwedata uye kugadzirisa, kuita sarudzo, uye kuita) munguva iri pedyo chaiyo (Elijah et al., 2018; Feng et al. , 2019; Muangprathub et al., 2019). Uyezve, ma drones anoonekwa sematurusi anoshanda ekutora iyo data inodiwa pakuverenga simba rezvinomera uye zvinomera zvivakwa (Candiago et al., 2015). Fig. 2a uye 2b inoratidzira keyword co-occurrence networks for both time periods.
Vanyori vane simba
Muchikamu chino, tinoona vanyori vane simba uye tinoongorora kuti munyori anotsanangura network angaona sei uye kuronga zvinyorwa zvazvino. Mufananidzo 3 unoratidza kutevedzana kwezviitiko zvevatsvakurudzi vose vane nhamba yepamusoro yezvinyorwa. Chikero cheruvara chinoratidza kusiyana kwegore-kwemakonzo evanyori. Isu tinoongorora chimiro chekufungidzira chevatsvaguri vakaburitsa zvidzidzo zvekurima drones vachishandisa chikumbaridzo chehushoma hwemakumi mashanu ezvinyorwa uye gumi zvinyorwa. Kupererwa ne
Vanyori 12,891, 115 chete ndivo vakasangana nemamiriro aya. Tafura 4 inoronga vanyori gumi vepamusoro vane simba, vakarongwa nehuwandu hwehuwandu hwezvinyorwa. Lopez- Granados F. inotungamira rondedzero ine 1,963 yakanyorwa, ichiteverwa neZarco-Tejada PJ ine 1,909 yakanyorwa.
Rondedzero yevanyori vakadudzwa vakawanda.
chepamusoro | munyori | Citations |
1 | Lopez-Granados ´ F. | 1,963 |
2 | Zarco-Tejada PJ | 1,909 |
3 | Pena ˜ JM | 1,644 |
4 | Torres-S' anchez J. | 1,576 |
5 | Fereres E | 1,339 |
6 | Remondino F | 1,235 |
7 | Bolten A | 1,160 |
8 | Bareth G | 1,155 |
9 | Berni JA | 1,132 |
10 | de Castro AI | 1,036 |
Kana zvasvika kune zvinyorwa zvega, Zhang and Kovacs's (2012) chinyorwa chave chidzidzo chakanyanya kutaurwa chakaburitswa muPrecision Agriculture. Pano, vanyori vakaongorora mashandisirwo eUAS mukurima chaiko. Zvakawanikwa mukutsvagisa kwavo zvinoratidza kuti panoda kufambisira mberi dhizaini yepuratifomu, kugadzirwa, kuenzanisa kwemifananidzo georeferencing, uye kudzoreredza ruzivo mafambiro ekupa varimi zvigadzirwa zvekupedzisira zvakavimbika. Pamusoro pezvo, vanokurudzira kuti murimi abatane zvakasimba, kunyanya mukuronga munda, kutora mifananidzo, pamwe nekududzira nekuongorora data. Zvakakosha, chidzidzo ichi chaiva pakati pekutanga kuratidza kukosha kweUAV mukugadzira mepu yemunda, simba remepu, chiyero chemakemikari yehuwandu, kutarisa kushungurudzika kwezvinomera, uye kuongororwa kwemigumisiro yefetereza pakukura kwemiti. Matambudziko ane chekuita netekinoroji anosanganisirawo mari inorambidza, kugona sensor, kugadzikana kwepuratifomu uye kuvimbika, kushaikwa kwekumisikidza, uye maitiro anowirirana ekuongorora huwandu hukuru hwe data.
Citation analysis
Citation ongororo inomiririra kudzidza pesvedzero yezvinyorwa, kunyangwe zviri nyore kuyerera (semuenzaniso, kurerekera kwechitubu, kuzvitaura) kunoonekwa seimwe yezviridzwa zvakajairwa zvekuongororwa kwemhedzisiro (Osareh, 1996; A. Rejeb et al., 2022; Sarli et al., 2010). Citations zvakare inoratidza kukosha uye simba rezvipo zvemapepa kune zvinyorwa pane imwe nyaya (R. Sharma et al., 2022). Isu takaita ongororo yekuona izvo zvine simba zvakanyanya pane zvekurima drones uye muchidimbu zviri mukati. Tafura yechishanu inopa rondedzero yemapepa gumi neshanu ane simba zvakanyanya enguva 5-1990 uye 2010-2011. Zvinyorwa naBerni et al. (2021) b naAustin (2009) ndivo vakanyanya kutaurwa muna 2010 na1990, vaine 2010 uye 831 zvirevo, zvichiteerana. Berni et al. (498) b yakaratidza kugona kugadzira zvigadzirwa zvemaremote neherikoputa-based UAV yakashongedzwa neinodhura inodziya uye narrowband multispectral imaging sensors. Kuenzaniswa nemasensa echinyakare anofambiswa nemhepo, inodhura UAV sisitimu yekurima inokwanisa kuwana fungidziro inofananidzwa yebiophysical paramita yezvirimwa, kana zvisiri nani. Mari inokwanisika uye kushanduka kwekushanda, pamwe chete nepamusoro pekutarisa, nzvimbo, uye zvigadziriso zvenguva zviripo panguva inokurumidza kuchinja, inopa maUAVs akakodzera kune zvakasiyana-siyana zvekushandisa zvinoda nguva-yakakosha kutarisira, kusanganisira kuronga kudiridza, uye kunyatsorima kurima. Pepa raBerni et al. (2009) b inodudzwa zvakanyanya nekuti yakanyatso batanidza isina kutenderedzwa-mapapiro chikuva uye dijitari uye zvinopisa zvinonzwa zvine nzira dzinodiwa dzekugadzirisa zvekurima. Yechipiri inonyanya kunyorwa kudhindwa ibhuku rakanyorwa naAustin (2009), uyo akakurukura maUAVs kubva pakugadzira, kusimudzira, uye kuendesa maonero. Mukurima, maUAV anotsigira kuongorora zvirimwa kuburikidza nekuona zvirwere nekukurumidza kuburikidza nekuchinja kweruvara rwezvirimwa, kufambisa kudyara kwembesa nekupfapfaidza, nekutarisa nekutyaira mombe.
Zvidzidzo zveSullivan et al. (2007), Lumme et al. (2008), uye Gokto ¨ ǧan et al. (2010) pedzisa rondedzero yezvinyorwa gumi neshanu zvepamusoro zvinodudzwa. Zvinyorwa izvi zvinoratidza kuvandudzwa kweUAV-based masisitimu ekutsigira zvekurima. Ivo vanopa mhinduro kumatambudziko akasiyana, sekutarisa zvirimwa uye kuongorora, kuongorora masora uye manejimendi, nerutsigiro rwesarudzo. Vanopawo mazano uye kukurukura kugona kweUAV kuwedzera hunyanzvi hwesampling uye kubatsira varimi mukugadzira kwakaringana uye kunoshanda
nzira dzekudyara. Mapepa maviri akanyorwa naBerni (Berni et al., 2009b; Berni et al., 2009a), achisimbisa kukosha kwake pakutsvagisa zvine chekuita nekurima. Pepa kubva kuZarco-Tejada et al. (2014) yave iri pakati pezvidzidzo zvekupayona kuratidza kudikanwa kwekushandisa yakaderera-mutengo UAV mifananidzo muhurefu hwemuti quantification.
Rondedzero yezvinyorwa zvakanyanya kutaurwa.
chinzvimbo | Kubva pa1990 kuenda ku2010 | Kubva pa2011 kuenda ku2021 | ||
Document | Citation | Document | Citation | |
1 | (Berni nevamwe, 2009b) | 831 | (C. Zhang naKovacs, 2012) | 967 |
2 | (Austin, 2010) | 498 | (Nex & Remondino, 2014) | 893 |
3 | (Hunt et al., 2010) | 331 | (Floreano & Wood, 2015) | 552 |
4 | (SR Herwitz et al., 2004) | 285 | (Hossein Motlagh et al., 2016) | 391 |
5 | (CCD Lelong et al., 2008) | 272 | (Shakhatreh et al., 2019) | 383 |
6 | (Berni nevamwe, 2009b) | 250 | (Ma et al., 2017) | 373 |
7 | (Grenzdorffer ¨ et al., 2008) | 198 | (Bendig et al., 2014) | 360 |
8 | (Hrabar et al., 2005) | 175 | (Zarco-Tejada et al., 2014) | 347 |
9 | (Y. Huang et al., 2009) | 129 | (Ad˜ ao et al., 2017) | 335 |
10 | (Schmale III et al., 2008) | 119 | (Honkavaara et al., 2013a) | 331 |
11 | (Abd-Elrahman et al., 2005) | 79 | (Candiago et al., 2015) | 327 |
12 | (Techy et al., 2010) | 69 | (Xiang naTian, 2011) | 307 |
13 | (Sullivan et al., 2007) | 51 | (Matese et al., 2015) | 303 |
14 | (Lumme et al., 2008) | 42 | (Gago et al., 2015) | 275 |
15 | (Gokto ¨ ǧan et al., 2010) | 40 | (Aasen et al., 2015a) | 269 |
Muchikamu chechipiri (2011-2021), tsvakurudzo yakaitwa naZhang and Kovacs (2012) uye Nex and Remondino (2014) yakakonzera zvinyorwa zvinowanzotaurwa. Zhang and Kovacs (2012) vanopokana kuti kurima chaiko kunogona kubatsirwa nekushandisa geospatial matekiniki uye masensa, senge geographic information system, GPS, uye kure sensing, kutora misiyano mumunda uye kuibata nekushandisa dzimwe nzira. Sekuchinja-mutambo mukurima kwakaringana, kutorwa kwema drones kwazivisa zera idzva mukunzwa kure, kurerutsa kutarisa kwemuchadenga, kutora data yekukura kwezvirimwa, mamiriro evhu, uye nzvimbo dzekupfapfaidza. Ongororo yeZhang neKovacs (2012) ndeye seminal sezvo ichipa manzwisisiro muUAVs nekuburitsa mashandisirwo aripo uye matambudziko emidziyo iyi mukutarisisa kwezvakatipoteredza uye nekurima chaiko, senge chikuva uye kusakwana kwekamera, matambudziko ekugadzirisa data, kubatanidzwa kwevarimi, uye mitemo yendege. . Yechipiri
yakanyanya kutaurwa kudzidza kubva kuNex uye Remondino (2014) yakaongorora mamiriro ehunyanzvi hweUAVs kutora, kugadzirisa, uye kuongorora mifananidzo yepasi.
Basa ravo rakapawo tarisiro yemapuratifomu akati wandei eUAV, maapplication, uye makesi ekushandisa, achiratidza kufambira mberi kutsva mukugadzira mifananidzo yeUAV. Mukurima, varimi vaigona kushandisa maUAV kuita sarudzo dzinoshanda kuti vawane mari uye kuchengetedza nguva, kugamuchira rekodhi yekukurumidza uye yechokwadi yekukuvadza, uye kutarisira matambudziko angangoitika. Kusiyana nemapuratifomu emuchadenga akajairwa, maUAV anogona kuderedza mari yekushandisa uye kuderedza njodzi yekupinda munzvimbo dzakaoma asi achiri kuchengetedza yakanyanya kunaka. Bepa ravo rinopfupisa zvakanakira zvakasiyana zveUAVs, kunyanya maererano nekurongeka uye kugadzirisa.
Pakati pezvinyorwa gumi nematatu zvakasara zvinonyanya kutaurwa pakati pe2011 ne2021, takaona kuwanda kukuru pakutsvagisa kwakabatana nemashandisirwo edrone mumisheni yekufungidzira (Bendig et al., 2014; Ma et al., 2017; Zarco-Tejada et al., 2014) , kurima chaiko (Candiago et al., 2015; Honkavaara et al., 2013a), precision viticulture (Matese et al., 2015), kuongororwa kwemvura kunetseka (Gago et al., 2015), uye kuongorora zvinomera (Aasen et al. , 2015a). Mumakore ekutanga, vatsvakurudzi vakatarisa
zvimwe pamusoro pekugadzira yakaderera-mutengo, yakareruka, uye chaiyo UAV-yakavakirwa masisitimu ekurima; tsvakiridzo ichangoburwa yakatarisa zvakanyanya pakuongorora kweUAV zvikumbiro zvekurima nekuongorora ndima. Muchidimbu, ongororo iyi inoratidza kuti zvinyorwa zvine simba zvakanyanya zvakapa wongororo yezvidzidzo zvekare kuti vaongorore mamiriro eUAV azvino pasainzi uye tekinoroji uye akagadzira masisitimu eUAV kutsigira kurima chaiko. Sezvineiwo, isu hatina kuwana zvidzidzo zvakashandisa empirical
nzira kana zvidzidzo zvinotsanangura, izvo zvinoumba gaka rakakosha reruzivo uye zvinoda tsvakiridzo pamusoro pechinyorwa ichi.
Co-citation analysis
Sekureva kwaGmür (2006), ongororo yeco-citation inozivisa zvinyorwa zvakafanana uye zvinozvibatanidza. Kunyatsoongorora kwechikwata kunogona kuratidza nzvimbo yakafanana yekutsvagisa pakati pezvinyorwa. Isu tinoongorora kubatanidzwa kwezvinyorwa zvine chekuita nekurima drones kuratidza nzvimbo dzine hukama uye kuona maitiro ehungwaru ezvinyorwa. Panyaya iyi, Diki (1973) yakakurudzira kushandiswa kwekuongorora kwecocitation kuti vadzidze yakanyanya kupesvedzera uye seminal research.
mukati mechirango. Kudzikamisa iyo seti kune yakanyanya seminal zvinyorwa (Goyal & Kumar, 2021), isu takaisa co-citation chikumbaridzo chemakumi maviri neshanu, zvichireva kuti zvinyorwa zviviri zvinofanirwa kunge zvakataurwa pamwechete mumareferenzi ezvinyorwa makumi maviri neshanu kana anopfuura akasiyana. Kubatana kwacho kwakaitwawo nehukuru hukuru hwemasumbu 25 uye pasina chero nzira yekubatanidza masumbu madiki neakakura. Nekuda kweizvozvo, masumbu matanhatu akagadzirwa zvichienderana nekufanana kwezvidzidzo uye chimiro chavo chepfungwa. Tafura 25 inoratidza kugoverwa kwezvinyorwa muboka rimwe nerimwe.
Cluster 1: Iri sumbu rine magwaro gumi nemasere akaburitswa mushure Mabhuku ari muchikwata ichi anokurukura nezvebasa rema drones mukutsigira kutariswa kwezvakatipoteredza, kutonga kwezvirimwa, uye kutonga kwemasora. Somuenzaniso, Manfreda et al. (2018) inopa tarisiro yekutsvagisa kwazvino uye kushandiswa kweUAV mukutarisisa kwezvekurima ecosystem uye vanopokana kuti tekinoroji inopa mukana wakakura wekusimudzira zvakanyanya kutarisisa kwezvakatipoteredza uye kuderedza.
mukaha uripo pakati pekutarisa kwemunda uye mhepo yakajairika uye spaceborne remote sensing. Izvi zvinogona kuitwa nekupa hutsva hutsva hwekuvandudza kudzoserwa kwenguva uye maonero enzvimbo munzvimbo dzakakura nenzira inokwanisika. MaUAV anogona kugara achiona zvakatipoteredza uye kutumira iyo inoguma data kune akangwara, centralized / decentralized masangano anodzora masensa kuti aone zvinozoitika matambudziko, sekushaikwa kwechirwere kana kuona mvura (Padua ´ et al., 2017). Adao ˜ et al. (2017) inofungidzira kuti maUAV akanakira kuongorora mamiriro ezvidyarwa nekutora vhoriyamu yakakura yedata mbishi ine chekuita nemamiriro emvura, fungidziro yebiomass, uye kuongorora simba. UAV-yakaiswa ma sensors anogona zvakare kuiswa nekukurumidza mumamiriro ekunze akakodzera kuti abvumire kubatwa nenguva kweiyo kure-inonzwa data (Von Bueren et al., 2015). Kuburikidza nemaUAVs, varimi vanokwanisa kuita mabasa ekurima mukati nekutora zviyero kubva kune chero nzvimbo munzvimbo ine mativi matatu enzvimbo dzekurima mukati (semuenzaniso, magreenhouse), nekudaro vachiona kutonga kwemamiriro ekunze uye kuongorora zvirimwa (Roldan ´ et al. ., 2015). Muchirevo chekururama
zvekurima, sarudzo dzekutarisira mbesa dzinoda data rezvirimwa rakarurama, rakavimbika rine gadziriso yenguva nenguva (Gebbers & Adamchuk, 2010; Gevaert et al., 2015; Maes & Steppe, 2019). Nechikonzero ichi, Agüera Vega et al. (2015) yakashandisa UAV-mounted multispectral sensor system kuti iwane mifananidzo yechirimwa chesunflower munguva yekukura. Saizvozvowo, Huang et al. (2009) cherechedza kuti kure kure sensing kunobva kuUAVs kunogona kufambisa kuyerwa kwezvirimwa uye ivhu kubva kune yakaunganidzwa data data. Verger et al. (2014) yakagadzira uye yakaedza nzira yekufungidzira green area index (GAI) kubva kuUAV reflectance measurements mumashandisirwo ekurima ekurima, achitarisa gorosi nembesa dzakabatwa chibharo. Naizvozvo, ma drones anopa mikana mitsva yekudzoreredza ruzivo rwezvirimwa nekudzokorora nguva nenguva uye yakakwirira nzvimbo kugadzirisa (Dong et al., 2019; Garzonio et al., 2017; H. Zheng et al., 2016).
Kuunganidzwa kwezvinyorwa zvine simba pane zvekurima drones.
Cluster | Broad theme | References |
1 | Kutariswa kwezvakatipoteredza, chirimwa kutungamirira, kutungamirira sora | (Ad˜ ao et al., 2017; Agüera Vega nevamwe, 2015; de Castro et al., 2018; Gomez-Cand ´ on ´ et al., 2014; YB Huang et al., 2013; Khanal et al., 2017; Lopez-Granados, ´ 2011; Manfreda et al., 2018; P' adua et al., 2017; Pena ˜ et al., 2013; Perez-Ortiz nevamwe, 2015; Rasmussen et al., 2013, 2016; Torres-S' anchez et al., 2014; Torres-Sanchez, ´ Lopez-Granados, ´ & Pena, ˜ 2015; Verger et al., 2014; Von Bueren et al., 2015; C. Zhang & Kovacs, 2012) |
2 | Remote phenotyping, goho kufungidzira, chirimwa chepamusoro modhi, kuverenga kwezvirimwa | (Bendig et al., 2013, 2014; Geipel nevamwe, 2014; Gnadinger ¨ & Schmidhalter, 2017; Haghighattalab nevamwe, 2016; Holman et al., 2016; Jin nevamwe, 2017; W. Li et al., 2016; Maimaiitijiang et al., 2017; Sankaran nevamwe, 2015; Schirrmann et al., 2016; Shi et al., 2016; Yue et al., 2017; X. Zhou et al., 2017) |
3 | Thermal imaging yemvura, multispectral imaging | (Baluja et al., 2012; Berni et al., 2009b; Berni et al., 2009a ; Candiago nevamwe, 2015; Gago et al., 2015; Gonzalez-Dugo et al., 2013, 2014; Grenzdorffer ¨ et al., 2008; Khaliq nevamwe, 2019; Matese et al., 2015; Ribeiro-Gomes et al., 2017; Santesteban et al., 2017; Uto et al., 2013) |
4 | Hypersectral imaging, spectral imaging | (Aasen et al., 2015a; Bareth et al., 2015; Hakala et al., 2013; Honkavaara et al., 2013a; Lucieer nevamwe, 2014; Saari et al., 2011; Suomalainen et al., 2014) |
5 | 3D-Mapping Applications | (Jimenez-Brenes et al., 2017; Nex & Remondino, 2014; Salamí et al., 2014; Torres-S' anchez, Lopez- ´ Granados, Serrano, et al., 2015; Zahawi et al., 2015; Zarco-Tejada et al., 2014) |
6 | Agriculture surveillance | (SR Herwitz et al., 2004; Hunt nevamwe, 2010; CCD Lelong et al., 2008; Primicerio et al., 2012; Xiang & Tian, 2011) |
Uyezve, ma drones anobatsira kumabasa akaomarara mukurima, kusanganisira mepu yemasora. Mifananidzo yakatorwa nemidziyo yakaratidza kubatsira kwayo kwekutanga kuona masora muminda (de Castro et al., 2018; Ji'enez-Brenes et al., 2017; Lam et al., 2021; Lopez-Granados ´ et al., 2016; Rozenberg et al., 2021). Panyaya iyi, de Castro et al. (2018) inofungidzira kuti kubatanidzwa kwemifananidzo yeUAV uye Object-Based Image Analysis (OBIA) kwagonesa varapi kukunda nyaya yekukasika kuona mumwaka wekutanga zvirimwa zveuswa, rinova danho rakakura kumberi mukutsvagisa masora. Saizvozvowo, Pena ˜ et al. (2013) inoratidza kuti kushandiswa kwemifananidzo yepamusoro-soro yenzvimbo kubva kuUAV pamwe chete neOBIA nzira inoita kuti zvikwanisike kugadzira mapepa emasora muzvirimwa zvekutanga zvechibage zvinogona kushandiswa pakuronga kushandiswa kwematanho ekudzivirira sora mumwaka, basa rinopfuura kugona kwesetiraiti nemifananidzo yechinyakare yemumhepo. Zvichienzaniswa nemhando yemifananidzo kana maalgorithms ekuona zvinhu, nzira dzemasemantic segmentation dzinoshanda zvakanyanya pamabasa ekugadzira mepu yemasora (J. Deng et al., 2020), zvichiita kuti varimi vaone mamiriro emunda, kuderedza kurasikirwa, uye kugadzirisa goho mumwaka wekukura (Ramesh. uye al., 2020). Kudzidza kwakadzama kwakavakirwa semantic segmentation kunogona kupawo kuyerwa kwakaringana kwechivharo chezvinomera kubva kune yakakwirira-resolution mifananidzo yemudenga (Ramesh et al., 2020; A. Zheng et al., 2022). Pasinei nekukwanisa kwavo kure
inonzwa pixel kupatsanurwa, semantic segmentation matekiniki anoda yakakosha computing uye inorambidza yakakwira GPU ndangariro (J. Deng et al., 2020).
Kubva pakudzidza kwemichina uye UAV, Perez-Ortiz et al. (2015) vakakurudzira nzira yekugadzira sora yekupa saiti-chaiyo nzira dzekudzora sora apo varimi vanotora yekutanga-post kubuda sora. Pakupedzisira, Rasmussen et al. (2013) yakasimbisa kuti drones inopa kusingadhure kunzwa nehukuru hwekugadzirisa nzvimbo. Pakazere, zvinyorwa zviri muchikwata ichi zvinonangana nekuongorora zvinogona kuitwa nemaUAV kutsigira kunzwa kure, kutarisa zvirimwa, uye mepu yemasora. Kuwedzera kutsvagisa kwakadzama kunodiwa kuti uenderere mberi nekuongorora mashandisiro anoita drone mukutarisisa nharaunda, kutonga kwezvirimwa, uye mepu yemasora inogona kuwana kurima kwakasimba (Chamuah & Singh, 2019; Islam et al., 2021; Popescu et al., 2020; J Su, Liu, et al., 2018) uye kugadzirisa nyaya dzehutongi hweiyi tekinoroji mumashandisirwo einishuwarenzi yezvirimwa (Basnet & Bang, 2018; Chamuah & Singh, 2019, 2022; Meinen & Robinson, 2021). Vatsvagiri vanofanirwa kutarisisa pakusimbisa zviyero zvakaunganidzwa zveUAV zvine hunyanzvi hwekugadzirisa hunyanzvi hwekusimudzira mhando yekupedzisira yedata rakagadziriswa (Manfreda et al., 2018). Uyezve, kuvandudzwa kwealgorithms akakodzera anocherekedza mapixels anoratidza masora mumifananidzo yedhijitari uye kubvisa zvisina basa kumashure panguva yeUAV mepu yemasora inodiwa (Ga ˇsparovi′c et al., 2020; Hamylton et al., 2020; H. Huang et al. , 2018, 2020; Lopez- ´ Granados et al., 2016). Kuwedzera kutsvagisa pamusoro pekugashira semantic segmentation matekiniki mukuzivikanwa kwechirimwa, mashizha emhando, uye mepu yechirwere inogamuchirwa (Fuentes-Pacheco et al., 2019; Kerkech et al., 2020).
Cluster 2. Zvinyorwa muchikwata ichi zvakatarisa pane zvakati wandei zvekurima drones. Inoenderana nechekure phenotyping, Sankaran et al. (2015) yakaongorora kugona kwekushandisa yakadzika-yakadzika, yakakwirira-resolution yeaerial imaging neUAVs yekukurumidza phenotyping yezvirimwa mumunda, uye vanokakavara kuti, kana zvichienzaniswa nepasi-based sensing mapuratifomu, maUAV madiki ane masensa akakwana anopa akawanda mabhenefiti. , senge nyore kuwana kumunda, data resolution, kuunganidza data kwakanaka,
kukurumidza kuongororwa kwemamiriro ekukura kwemunda, uye mari shoma yekushanda. Zvisinei, vanyori vanocherechedzawo kuti kushandiswa kunobudirira kweUAV kwephenotyping yemunda kunovimba nezvinhu zviviri zvinokosha, zvinoti, maUAV features (semuenzaniso, kuchengeteka, kugadzikana, kumira, kuzvimiririra) uye hunhu hwe sensor (semuenzaniso, kugadzirisa, uremu, spectral wavelengths, munda. yekuona). Haghighattalab et al. (2016) yakakurudzira pombi yekugadziridza mifananidzo kuti itore data-level data kubva kuUAV mifananidzo uye nekumhanyisa maitiro ekuberekesa. Holman et al. (2016) yakagadzira yakakwirira
throughput field phenotyping system uye yakaratidza kuti UAV inokwanisa kuunganidza mhando, voluminous, munda-based phenotypic data, uye kuti mudziyo unoshanda munzvimbo huru uye munzvimbo dzakasiyana dzeminda.
Sezvo fungidziro yegoho ichidimbu chakakosha cheruzivo, kunyanya kana ichiwanikwa nenguva, pane mukana wekuti maUAV ape zviyero zvese zvemunda uye nekunyatsowana data remhando yepamusoro (Daakir et al., 2017; Demir et al., 2018) ; Enciso et al., 2019; Kulbacki et al., 2018; Pudelko et al., 2012). Panyaya iyi, Jin et al. (2017) akatora mukana wemufananidzo wepamusoro wakawanikwa neUAVs pakadzika zvakanyanya kuti uvandudze uye uongorore nzira yekufungidzira kusimba kwechirimwa chegorosi panguva yekubuda. Sekureva kwevanyori, maUAV anokunda zvipingamupinyi zvemarover masisitimu akashongedzerwa nemakamera uye anomiririra nzira isingapindike yekufungidzira kuwanda kwezvirimwa muzvirimwa, zvichibvumira varimi kuti vakwanise kuwana huwandu hwepamusoro hunodiwa paphenotyping yemumunda pasina kufambiswa kwevhu. Li et al. (2016) yakaunganidza mazana emifananidzo yestereo ine resolution yepamusoro-soro uchishandisa UAV-based system yekufungidzira chibage, kusanganisira kureba kwecanopy uye pamusoro pevhu. Pakupedzisira, Yue et al. (2017) yakaona kuti kureba kwechirimwa kwakatemwa kubva kuUAVs kunogona kusimudzira fungidziro yepasi pevhu (AGB).
Nzira yekutarisa kukura kwechirimwa ipfungwa yekugadzira mhando dzepamusoro pezvirimwa (Bendig et al., 2014, 2015; Holman et al., 2016; Panday, Shrestha, et al., 2020; Sumesh et al., 2021). Zvidzidzo zvakati wandei zvakaratidza kugona kwemifananidzo yakatorwa kubva kuUAV kutora urefu hwezvirimwa uye kutarisa kukura kwadzo. Somuenzaniso, Bendig et al. (2013) yakatsanangura kuvandudzwa kwemamodhiyamu ezvirimwa zvenguva zhinji ane chigadziriso chakanyanya chisingasviki 0.05 m uchishandisa UAV. Vakavavarira kuona chirimwa
kusiyana kwekukura uye kutsamira pakurapa kwechirimwa, cultivar, uye kushushikana. Bendig et al. (2014) yakashandisa maUAV kufungidzira kutsva uye kwakaoma biomass zvichienderana nehurefu hwechirimwa hwakatorwa kubva kune chirimwa pamusoro pemhando uye yakaona kuti, kusiyana nemhepo mapuratifomu uye terrestrial laser scanning, iyo yakakwirira resolution mifananidzo kubva kuUAVs inogona kuwedzera zvakanyanya kurongeka kwekukura kwechirimwa kwekukura kwakasiyana. matanho. Nenzira imwecheteyo, Geipel et al. (2014) vakashandisa maUAV mukutsvaga kwavo kuwana mifananidzo
Datasets yegoho rechibage rinopa kufanotaura pazvikamu zvitatu zvakasiyana zvekukura kubva pakutanga kusvika pakati pemwaka uye vakagumisa kuti musanganiswa wekuona uye nzvimbo yekuenzanisira zvichienderana nemifananidzo yemuchadenga uye mhando dzepamusoro pechirimwa inzira yakakodzera yekufungidzira goho rechibage repakati pemwaka. Pakupedzisira, Gnadinger ¨ naSchmidhalter (2017) vakaongorora kushandiswa kweUAV muhutano hwe phenotyping uye vakasimbisa kuti kushandiswa kwekombiyuta iyi kunogona kusimudzira hutungamiri hwepurazi uye kugonesa kuedza kwemunda kwekuberekesa uye agronomic zvinangwa. Pakazere, tinoona kuti zvinyorwa zviri muchikwata chechipiri zvinotarisa pane zvakakosha zveUAVs kure.
phenotyping, goho estimation, chirimwa pamusoro moenzanisi, uye chirimwa kuverenga. Zvidzidzo zvenguva yemberi zvinogona kuchera zvakadzika nekugadzira nzira nyowani dzemapenotyping dziri kure dzinogona kuita otomatiki uye kukwenenzvera kugadziridzwa kwe data rinonzwa kure (Barabaschi et al., 2016; Liebisch et al., 2015; Mochida et al., 2015; S. Zhou et al., 2021; Liebisch et al., XNUMX; Mochida et al., XNUMX; S. Zhou et al. ., XNUMX). Pamusoro pezvo, mashandiro eIoT sensors akaiswa paUAVs uye kutengeserana pakati pemitengo yavo, vashandi, uye nemazvo efungidziro yegoho inoda kuongororwa mu
ramangwana (Ju & Mwanakomana, 2018a, 2018b; Xie & Yang, 2020; Yue et al., 2018). Pakupedzisira, panodiwa kuvandudza nzira dzekugadzirisa mifananidzo dzinogona kuburitsa ruzivo rwakavimbika, kuwedzera kugona mukugadzirwa kwekurima, uye kuderedza basa rekuverenga revarimi (RU Khan et al., 2021; Koh et al., 2021; Lin. & Guo, 2020; C. Zhang et al., 2020).
Cluster 3. Zvinyorwa zviri muchikwata ichi zvinokurukura mhando dzakasiyana dzemaimaging masisitimu ekuona kure kure kwezviwanikwa zvekurima zvinoshandiswa pamapuratifomu eUAV. Panyaya iyi, kufungidzira kwekupisa kunobvumira kutariswa kwekushisa kwepamusoro kudzivirira kukuvara kwechirimwa uye kuona kusanaya kwemvura nekukurumidza (Awais et al., 2022; García-Tejero et al., 2018; Sankaran et al., 2015; Santesteban et al., 2017; Yeom, 2021). Baluja et al. (2012) yakasimbisa kuti kushandiswa kwemakamera akawanda uye anopisa makamera pabhodhi
UAV yakagonesa vaongorori kuwana mifananidzo yepamusoro uye kuongorora mamiriro emvura yemuzambiringa. Izvi zvinogona kubatsira kugadzira manyoro emvura ekuronga modhi uchishandisa kure-inonzwa data (Baluja et al., 2012). Nokuda kwe
mashoma ekuremedza huwandu hweUAVs, Ribeiro-Gomes et al. (2017) yakafunga kubatanidzwa kwemakamera asina kutonhora ekupisa muUAVS kuti aone kushushikana kwemvura mumiti, izvo zvinoita kuti rudzi urwu rweUAV ruve rwakanyanya uye runoshanda kudarika tsika dzekare satellite-based remote sensing uye maUAV ane makamera akatonhorera anopisa. Sekureva kwevanyori, makamera asina kutonhorera anopisa akareruka pane akatonhodzwa makamera, anoda calibration yakakodzera. Gonzalez-Dugo et al. (2014) yakaratidza kuti mifananidzo inopisa inonyatso gadzira mepu dzenzvimbo dzechirimwa mvura yekudzvinyirira indices yekuongorora mamiriro emvura uye quantifying mvura kushushikana pakati uye mukati mecitrus orchards. Gonzalez-Dugo et al. (2013) uye Santesteban et al. (2017) yakatsvaga kushandiswa kwepamusoro-soro yeUAV yemifananidzo inopisa yekufungidzira kushanduka kwemvura yebindu rekutengesa uye munda wemizambiringa.
Multispectral imaging inogona kupa yakakura data mukuenzanisa neyechinyakare RGB (Red, Green, uye Blue) mifananidzo (Ad˜ ao et al., 2017; Navia et al., 2016). Iyi data yekuona, pamwe chete nedata yenzvimbo, inogona kubatsira mukuronga, mepu, kufanotaura, kufanotaura, uye zvinangwa zvekuona (Berni et al., 2009b). Maererano neCandiago et al. (2015), UAVbased multispectral imaging inogona kubatsira zvakanyanya pakuongorora zvirimwa uye kurima chaiko sechinhu chakavimbika uye chinoshanda. Zvakare,
Khaliq et al. (2019) akaita kuenzanisa pakati pesetiraiti uye UAVbased multispectral imaging. Mifananidzo yakavakirwa paUAV yakakonzera kunyatsojeka mukutsanangura kusiyanisa kwemunda wemizambiringa pamwe nemepu dzesimba dzekumiririra macanopies ezvirimwa. Muchidimbu, zvinyorwa zviri muchikwata ichi zvinokurukura nezvekupinzwa kwema sensors ekudziya uye akawanda ekufungidzira mumaUAV ezvekurima. Saizvozvo, kumwe kutsvagisa kunodiwa kuti unzwisise kuti kupisa uye multispectral imaging inogona kubatanidzwa sei neAI
maitiro (semuenzaniso, kudzidza kwakadzama) kuona kushushikana kwechirimwa (Ampatzidis et al., 2020; Ampatzidis & Partel, 2019; Jung et al., 2021; Santesteban et al., 2017; Syeda et al., 2021). Mafungiro akadai anozobatsira kuona kwakanyatso shanda uye kwakaringana kuonekwa pamwe nekutarisa kukura kwechirimwa, kushushikana, uye phenology (Buters et al., 2019; Cao et al., 2020; Neupane & BaysalGurel, 2021; L. Zhou et al., 2020).
Cluster 4. Iyi cluster ine mapepa manomwe anotenderedza basa rakakosha rekuona kwekuona mifananidzo uye hyperspectral imaging mukutsigira zvekurima. Hyperspectral imaging yakazvimisikidza senzira yekuona kure-kure inogonesa kuongororwa kwehuwandu hwepasi system (Schaepman et al., 2009) .Kuti ive yakanyatsojeka, inogonesa kuzivikanwa kwezvinhu zvepasi, kuwanda kwe (hukama) kutariswa, uye kugoverwa kwezvikamu zvechikamu chepamusoro
mukati memapikiseli akasanganiswa (Kirsch et al., 2018; Zhao et al., 2022). Mune mamwe mazwi, iyo yakakwira spectral resolution inopihwa ne hyperspectral masisitimu inogonesa kunyatso fungidziro yeakasiyana ma paramita, senge midziyo yemuriwo kana yemashizha emvura (Suomalainen et al., 2014). Vatsvakurudzi vari muchikwata ichi vakaongorora zvakasiyana-siyana zvemaitiro akadaro. Pakati pevamwe, Aasen et al. (2015b) yakapa yakasarudzika nzira yekutora matatu-dimensional hyperspectral ruzivo kubva kune huremu.
snapshot makamera anoshandiswa paUAVs yekutarisa zvinomera. Lucieer et al. (2014) yakakurukura dhizaini, kusimudzira, uye mashandiro emuchadenga einoveli hyperspectral UAS pamwe nekugadzirisa, kuongorora, uye kududzira kweiyo data yemufananidzo yakaunganidzwa nayo. Pakupedzisira, Honkavaara et al. (2013b) yakagadzira nzira yakazara yekugadzirisa yeFabryPerot interferometer-based spectral mifananidzo uye yakaratidza kushandiswa kwayo mune biomass estimate maitiro ekurima chaiko. Ingangove nzira dzemangwana dzechikwata ichi chazvino dzinosanganisira kusimbisa kudiwa kwekuvandudzwa kwehunyanzvi mune sensor tekinoroji (Aasen et al., 2015b) pamwe nekudiwa kwekubatanidza nekusimudzira tekinoroji, kunyanya data hombe uye analytics (Ang & Seng, 2021; Radoglou. -Grammatikis et al., 2020; Shakoor et al., 2019). Iyo yekupedzisira inonyanya kukonzerwa neiyo inogara ichikura data inogadzirwa neakasiyana masensa akaiswa muhungwaru hwekurima (C. Li & Niu, 2020; A. Rejeb et al., 2022; Y. Su & Wang, 2021).
Cluster 5. Zvinyorwa muchikwata ichi zvakaongorora drones-based 3Dmapping applications. Kushandisa drones kumepu ye3D kunogona kuderedza basa remumunda rakaoma uye kuwedzera kushanda zvakanaka (Torres-Sanchez ´ et al., 2015). Zvinyorwa zvishanu zviri muchikwata zvakanyanya kutarisisa mashandisirwo ekutarisa chirimwa. Semuyenzaniso, kuwana dhata-dimensional data nezvenzvimbo yecanopy, kureba kwemuti, uye korona vhoriyamu, Torres-Sanchez ´ et al. (2015) yakashandisa tekinoroji yeUAV kugadzira madhijitari epamusoro modhi uyezve chinhu-based image analysis (OBIA) nzira. Uyezve, Zarco-Tejada et al. (2014) quantified tree urefu nekubatanidza teknolojia yeUAV uye matatu-dimensional photo-reconstruction nzira. Jimenez-Brenes Lopez-Granados, ´ De Castro, et al. (2017) yakaratidza nzira itsva yeakawanda-temporal, 3D yekutarisa akawanda emiti yemiorivhi nekubatanidza UAV tekinoroji ine advanced OBIA methodology. Nzira dzinonakidza dzemabasa emangwana mune ino cluster dzinosanganisira kana kuvandudza ikozvino
nzira (Zarco-Tejada et al., 2014) yedhijitari yepamusoro yekuenzanisira zvinangwa (Ajayi et al., 2017; Jaud et al., 2016), senge OBIA (de Castro et al., 2018, 2020; Ventura et al. , 2018), uye kuvakazve mafoto kana kugadzira nzira dzinoverengeka (Díaz-Varela et al., 2015; Torres-S'anchez et al., 2015).
Cluster 6. Iyi cluster inokurukura basa rema drones mukuongororwa kwekurima. MaUAV anogona kuzadzisa uye kukunda kukanganisa kwesetiraiti uye kufungidzira kwendege. Semuenzaniso, vanogona kupa kugadzirisa kwakakwirira pedyo-chaiyo-nguva yekufungidzira ine mafuta mashoma kana matambudziko ekufambisa ndege, zvichiita kuti nguva dzose uye chaiyo-nguva yekuongorora uye kuvandudzwa kwekuita zvisarudzo (S. Herwitz et al., 2004). Mumwe mupiro wakakosha wemaUAV kugona kwavo kupa saiti-chaiwo dhata rekurima chaiko kana kurima kwakanangana nesaiti sekugadziriswa kwavo kwepamusoro, ruzivo rwakadzama nezvemaparamendi akasiyana-siyana anoita kuti varimi vagovane ivhu kuita zvikamu zvakafanana vozvibata saizvozvo (Hunt et al. , 2010; CC Lelong et al., 2008; Primicerio et al., 2012). Yakadaro UAV-yakavakirwa pakurima yekutarisa inogona kutsigira kuchengetedzwa kwekudya uye kuita sarudzo (SR Herwitz et al., 2004). Kufambisira mberi tsvagiridzo yekuongorora kwezvekurima, kwete chete kuvandudzwa kwema sensors, maUAV, uye mamwe matekinoroji ane hukama uye nzira dzekutaurirana uye dzekufambisa data dzinodiwa (Ewing et al., 2020; Shuai et al., 2019), asiwo kubatanidza drones neakasiyana siyana. matekinoroji ekugadzirisa mabasa akasiyana ane chekuita nekurima kwakangwara, sekutarisa, kuongorora zvekurima, uye kuita sarudzo, inzvimbo yepamusoro inogona kutsvagisa (Alsamhi et al., 2021; Popescu et al., 2020; Vuran et al., 2018). Panyaya iyi, IoT, WSNs, uye dhata hombe inopa inonakidza yekuwedzera kugona (van der Merwe et al., 2020). Mari yekushandisa, kuchengetedza mutengo, kugona kwesimba, uye kuchengetedzwa kwedata zviri pakati penzvimbo dzisina kuferefetwa dzekubatanidzwa kwakadaro (Masroor et al., 2021).
Nyika uye masangano ezvidzidzo
Danho rekupedzisira raisanganisira kuferefetwa kwenyika yekwakabva uye kudyidzana nevanyori mune zvedzidzo. Kuburikidza neongororo iyi, tinovavarira kunzwisisa zviri nani kugoverwa kwenzvimbo kwevadzidzi vanopa mukushandiswa kwemadrones mukurima. Zvakakosha kucherechedza kusiyana kwenyika uye masangano ezvidzidzo. Kubva pamaonero enyika, USA, China, India, neItaly zviri pamusoro pechinyorwa maererano nehuwandu hwezvinyorwa (Table 7). The current
tsvakiridzo pamusoro pezvidhori zvekurima zvakanyanya kuitirwa kuNorth America neAsia nyika, zvakanyanya nekuda kwekuita kwavo kwakanyanya mukushandisa kwekurima chaiko. Semuyenzaniso, muUSA, musika wemadrones ezvekurima waifungidzirwa ku841.9 miriyoni USD mugore ra2020, uchiverengera ingangoita 30% yemugove wemusika wepasi rose (ReportLinker, 2021). China iri pachinzvimbo cheupfumi hukuru pasi rose, inofungidzirwa kuti ichasvika pamusika we 2.6 bhiriyoni USD mugore ra2027. Nyika ino iri kukumbira kuti drones dzekurima dzikunde nyaya dzegoho uye kuwana goho riri nani, kuderedzwa kwevashandi, uye zvigadzirwa zvishoma zvekugadzira. Nekudaro, kutorwa kwetekinoroji muChina kunofambiswawo nezvinhu zvakaita sehuwandu hwevanhu uye kudiwa kwekuvandudza nekuvandudza maitiro aripo ekutonga zvirimwa.
Nyika dzepamusoro dzinogadzira zvakanyanya uye mayunivhesiti / masangano anobatsira
tsvagiridzo ine chekuita nekurima.
chinzvimbo | Countries |
1 | USA |
2 | China |
3 | India |
4 | Itari |
5 | Speini |
6 | Jerimani |
7 | Bhuraziri |
8 | Ositireriya |
9 | Japani |
10 | United Kingdom |
chinzvimbo | Mayunivhesiti/ Masangano |
1 | Chinese Chikoro cheSainzi |
2 | Ministry of Agriculture yePeople's Republic of China |
3 | Yakakwirira Kanzuru yeSainzi Kuferefeta |
4 | Texas A & M Yunivhesiti |
5 | China Agricultural University |
6 | USDA Zvekurima Zvekutsvagisa Service |
7 | CSIC – Instituto de Agricultura Sostenible IAS |
8 | Purdue University |
9 | National Research Council |
10 | South China Koreji Yunivhesiti |
Kubva kuyunivhesiti nemaonero esangano, Chinese Academy of Sciences inotungamira rondedzero maererano nehuwandu hwezvinyorwa, ichiteverwa nebazi rezvekurima rePeople's Republic of China uye Consejo Superior de Investigaciones Científicas. Chinese Academy of Sciences inomiririrwa nevanyori Liao Xiaohan naLi Jun; Han Wenting anomiririra Bazi rezvekurima rePeople's Republic of China; uye Consejo Superior de Investigaciones Científicas inomiririrwa naLopez-Granados, ´ F. naPena, ˜ Jose María S. Kubva kuU.SA, mayunivhesiti akaita seTexas A&M University nePurdue University vanowana yavo.
taura. Mayunivhesiti ane nhamba yepamusoro-soro yezvinyorwa uye kubatana kwavo kunoratidzwa muFig. 4. Uyezve, urongwa uhwu hunosanganisira masangano akadai seConsiglio Nazionale delle Ricerche uye Consejo Superior de Investigaciones Científicas ari kushanda mukutsvakurudza kwesayenzi, asi asiri masangano ezvidzidzo. .
Sarudzo yedu yaisanganisira majenari akasiyana siyana, anosanganisira angangoita data rese riripo. Sezvinoratidzwa muTable 8, Remote Sensing ine 258 zvinyorwa zviri pamusoro, zvichiteverwa neJournal of Intelligent neRobotic Systems: Theory uye Applications ine zana nemakumi maviri nenhanhatu uye Makomputa neMagetsi mukurima ane zvinyorwa makumi mapfumbamwe nemasere. Nepo Remote Sensing yakanyanya kutariswa pakushandisa uye kusimudzira madrones, Makomputa uye Electronics mune Zvekurima zvinonyanya kufukidza kufambira mberi mumakombuta hardware, software, zvemagetsi, uye kutonga masisitimu mune zvekurima. Nzvimbo dzinotengeswa dzakayambuka, dzakadai seIEEE Robotics uye Automation Letters dzine zvinyorwa makumi masere nenomwe uye IEEE Access ine zvinyorwa makumi matatu nemana, zvakare nzvimbo dzekutanga mumunda. Nzvimbo gumi neshanu dzepamusoro dzakabatsira kune zvinyorwa nemagwaro e126, ayo angangoita 98% yezvinyorwa zvese. Ongororo yeco-citation yejenari inotigonesa kuongorora kukosha uye kufanana pakati pezvinyorwa. Co-citation analysis inobereka mapoka matatu, sezvakaratidzwa muFig. 87. The red cluster ine magazini akadai seRemote Sensing, Computer and Electronics in Agriculture, Sensors,
uye International Journal of Remote Sensing. Zvese izvi zvitoro zvine mukurumbira wemagazini munzvimbo dzekunzwa kure uye nekurima chaiko. Iro girinhi sumbu rine majenari anobata nemarobhoti, akadai seJournal of Intelligent uye Robotic Systems: Theory and Applications, IEEE Robotics uye Automation Letters, IEEE Access, uye Drones. Izvi zvitoro zvinonyanya kuburitsa mapepa pa otomatiki uye zvinobatsira kune mainjiniya ezvekurima. Boka rekupedzisira rinoumbwa nemagazini ane hukama neagronomy nehuinjiniya hwekurima, seAgronomy uye International Journal of Agricultural and Biological Engineering.
Mapepanhau gumi nemashanu epamusoro mune zvekurima zvine chekuita nekutsvaga.
chinzvimbo | Nyaya | Verenga |
1 | Remote Kuona | 258 |
2 | Chinyorwa cheIntelligent uye Robotic Systems: Theory uye Applications | 126 |
3 | Makomputa uye Electronics mune Zvekurima | 98 |
4 | IEEE Robotics uye otomatiki Tsamba | 87 |
5 | Sensors | 73 |
6 | International Journal ye Remote Sensing | 42 |
7 | Precision Zvekurima | 41 |
8 | Drones | 40 |
9 | Agronomy | 34 |
10 | IEEE Access | 34 |
11 | International Journal yeAdvanced Robotic Systems | 31 |
12 | International Journal of Agricultural and Biological Engineering | 25 |
13 | PLoS ONE | 25 |
14 | Nyaya yeMunda Robotics | 23 |
15 | Biosystems Engineering | 23 |
mhedziso
pfupiso
Muchidzidzo ichi, takapfupisa nekuongorora tsvakiridzo iripo pane zvekurima drones. Tichishandisa nzira dzakasiyana dzebibliometric, takaedza kuwana kunzwisisa kuri nani kwechimiro chehungwaru chetsvakiridzo ine chekuita nekurima. Muchidimbu, ongororo yedu inopa mipiro yakati wandei nekuzivisa uye kukurukura mazwi akakosha muzvinyorwa, kuburitsa zvikwata zvezivo uku uchigadzira nharaunda dzakafanana mumunda wedrones, kutsanangura kutsvagisa kwekutanga, uye kupa zano remangwana rekutsvagisa. Pazasi, isu tinodonongodza zvakawanikwa zvakanyanya zvewongororo pakuvandudzwa kwemadrones ezvekurima:
• Zvinyorwa zvakazara zvakakura nekukasira uye zvakwezva pfungwa huru mumakore gumi apfuura, sezvakaratidzwa nekukwira kwenhamba yezvinyorwa mushure megore ra2012. & Steppe, 2011), mibvunzo yakati wandei haisati yapindurwa. Semuenzaniso, kushandiswa kwemadrones mukurima kwemukati kuchiri kuvhurika kuitira nharo (Aslan et al., 2019; Krul et al., 2022; Rold'an et al., 2021). Iko kuomarara kwezviitiko zveminda uye akasiyana ekufungidzira mamiriro (semuenzaniso, mimvuri uye kuvhenekerwa) zvinogona kukonzera yakakwira spectral mu-kirasi musiyano (Yao et al., 2015). Kunyangwe mumatanho ekupedzisira ekutsvagisa, vaongorori vakapikiswa kuti vaone hurongwa hwendege hwakakwana zvichienderana nemamiriro ezvinhu uye inodiwa mhando yemufananidzo (Soares et al., 2019; Tu et al.,
2020).
• Tinocherechedza kuti munda wafambira mberi kubva pakugadzira masisitimu eUAV anobudirira kusvika pakubatanidza nzira dzeAI, dzakadai sekudzidza kwemichina uye kudzidza kwakadzama mukugadzira dhizaini dzekurima (Bah et al., 2018; Kitano et al., 2019; Maimaitijiang et al. , 2020; Mazzia et al., 2020; Tetila et al., 2020).
• Tsvakurudzo pamusoro pezvekurima drones yainyanya kukurukura nezvekunzwa kure kuburikidza nekuongorora zvingaita zvemichina mukutarisa kwezvakatipoteredza, kutonga kwezvirimwa, uye kutonga kwemasora (cluster 1) pamwe chete nekure kure phenotyping uye goho estimation (cluster 2). Seti yezvidzidzo zvine simba pane zvekurima drones zvinosanganisira Austin (2010), Berni et al. (2009)a, Herwitz nevamwe. (2004), Nex and Remondino (2014), uye Zhang and Kovacs (2012). Zvidzidzo izvi zvakagadzira hwaro hwepfungwa hwekutsvagisa kwakabatana nedrone mumamiriro ekurima.
• Zvinechekuita nemaitiro, takaona kuti tsvakiridzo zhinji yakaitwa kusvika parizvino yaive yakaumbwa nehurongwa hwekugadzira, fungidziro, kana kuongorora-kwakavakirwa zvidzidzo (Inoue, 2020; Nex & Remondino, 2014; Perez-Ortiz et al. , 2015; Yao et al., 2019). Isu tinocherekedzawo kushomeka kweempirical, hunhu, uye nyaya-yekudzidza-yakavakirwa nzira pabasa mukuongorora drones dzekurima.
• Munguva pfupi yapfuura, misoro ine chekuita nekurima kwakaringana, maitiro eAI, precision viticulture, uye kuongorora kushushikana kwemvura kwakatora pfungwa huru (Espinoza et al., 2017; Gomez-Cand ´ on ´ et al., 2016; Matese et al., 2015; Matese & Di Gennaro, 2018, 2021; Z. Zhou et al., 2021). Kunyatsoongorora masumbu ekutsvagisa mune mbiri dzakasiyana eras, 1990-2010 uye 2011-2021, inoratidza kufambira mberi kweiyo domain yehungwaru chimiro. Iyo nguva kubva ku1990 kusvika 2010 yakagadzira kuvakwa kwepakati pfungwa uye pfungwa dzema drones, izvo zviri pachena kubva muhurukuro yeUAV dhizaini, kusimudzira, uye kuita. Munguva yechipiri, iyo yekutsvagisa yakawedzera pazvidzidzo zvekutanga, ichiita kuyedza kubatanidza nyaya dzekushandisa dzeUAV mukurima. Takawanawo zvidzidzo zvakawanda zvinokurukura mashandisirwo edrone mumabasa ekufungidzira uye nekurima chaiko.
chinzvimbo | Nyaya | Verenga |
1 | Remote Kuona | 258 |
2 | Chinyorwa cheIntelligent uye Robotic Systems: Theory uye | 126 |
Applications | ||
3 | Makomputa uye Electronics mune Zvekurima | 98 |
4 | IEEE Robotics uye otomatiki Tsamba | 87 |
5 | Sensors | 73 |
6 | International Journal ye Remote Sensing | 42 |
7 | Precision Zvekurima | 41 |
8 | Drones | 40 |
9 | Agronomy | 34 |
10 | IEEE Access | 34 |
11 | International Journal yeAdvanced Robotic Systems | 31 |
12 | International Journal of Agricultural and Biological Engineering | 25 |
13 | PLoS ONE | 25 |
14 | Nyaya yeMunda Robotics | 23 |
15 | Biosystems Engineering | 22 |
nechirevo
Ongororo yedu yebhaibheri yakagadzirwa uye yakaitwa nenyanzvi, varimi, nyanzvi dzezvekurima, vanachipangamazano vezvirimwa, uye vagadziri veUAV system mupfungwa. Kuruzivo rwevanyori rwepamusoro, iyi ndeimwe yeongororo yekutanga yakaita ongororo yakadzama yebhaibheri
drone application mune zvekurima. Takaita ongororo yakazara yeboka reruzivo iri, tichishandisa ongororo uye co-citation ongororo yezvinyorwa. Kuedza kwedu kutsanangura chimiro chehungwaru chekutsvagisa drone kunopawo ruzivo rutsva rwevadzidzi. Kunyatsoongorora kwemazwi akakosha anoshandiswa nekufamba kwenguva kunoratidza hotspots uye nzvimbo dzakatariswa dzekutsvagisa mumabhuku ane hukama nedrone. Uyezve, isu tinopa runyoro rwezvidzidzo zvakanyanya kutaurwa kuti uone akanyanya kukanganisa mabasa ekutsvagisa anopedzwa mumunda. Kuzivikanwa kwezvinyorwa uye mazwi akakosha zvinogona kupa danho rekutanga kuburitsa nzira dzakati wandei dzezvidzidzo zvenguva yemberi.
Zvakakosha, takaratidza mapoka anoronga mabasa akafanana uye akatsanangura nezvemhedzisiro. Zvidzidzo zvakakamurwa mumasumbu zvinobatsira mukunzwisisa chimiro chehungwaru chekutsvaga kweUAV. Zvikuru, takawana kushomeka kwezvidzidzo zvinoferefeta zvinhu zvekutorwa kwedrones
uye zvipingaidzo mumabasa ekurima (ona Tafura 9). Vatsvagiri venguva yemberi vanogona kugadzirisa gaka iri nekuita ongororo dzakasimba dzinoongorora kutorwa kwedrones mumabasa akasiyana ekurima uye mamiriro ekunze. Uyezve, nyaya yekudzidza-yakavakirwa tsvagiridzo ine chekuita nekubudirira kwemadrones inofanirwa kutsigirwa ne data chaiyo kubva kumunda. Zvakare, kubatanidza varimi nemamaneja mukutsvagisa kwedzidzo zvingave zvinobatsira kune zvese zviri zviviri theoretical uye inoshanda kufambira mberi kwekutsvagisa drone. Takakwanisawo kuona vatsvakurudzi vane mukurumbira uye zvipo zvavo, izvo zvakakosha nokuti kuziva nezvemabasa ekupedzisira emarimu kunogona kupa humwe hutungamiri kune zvidzidzo zvemangwana.
Tafura 9
UAV zvipingamupinyi zvekugamuchira.
Chipinganidzo | tsananguro |
Data kuchengeteka | Cyber security idambudziko guru rekuita IoT mhinduro (Masroor et al., 2021). |
Interoperability uye kusangana | Akasiyana matekinoroji akadai seUAV, WSN, IoT, nezvimwe. inofanira kubatanidzwa uye kutumira data iyo wedzera iyo yakaoma nhanho (Alsamhi et al., 2021; Popescu et al., 2020; Vuran et al., 2018). |
Mari yekushandisa | Izvi zvinonyanya kuitika kune varimi vadiki uye kune kubatanidza zvakasiyana-siyana zvekucheka-kumucheto matekinoroji ( Masroor et al., 2021). |
Ruzivo rwebasa uye hunyanzvi | Vatyairi vendege vane hunyanzvi vanodiwa kuti vashandise maUAV. Zvakare, kuita zvakasiyana-siyana zvekucheka-kumucheto matekinoroji anoda vashandi vane hunyanzvi (YB Huang nevamwe, 2013; Tsouros et al., 2019). |
Injini Simba uye ndege chinguva | Drone haigoni kushandiswa kwemaawa akawanda uye kuvhara nzvimbo huru (Hardin & Hardin, 2010; Laliberte et al., 2007). |
Kugadzikana, kuvimbika, uye maneuverability | Drones haina kugadzikana panguva yakaipa mamiriro ekunze (Hardin & Hardin, 2010; Laliberte et al., 2007). |
Payload zvisingakwanisi uye sensors 'mhando | Drones chete inogona kutakura mitoro mishoma inotungamira kune kugona kurodha yakaderera mhando sensors (Nebiker et al., 2008). |
chengetedzo | Sezvo drones inogona kuva nengozi zvakare, kune yakaoma mitemo mune dzimwe nzvimbo (Hardin & Jensen, 2011; Laliberte naRango, 2011). |
Ruzivo rwevarimi uye mubereko | Semamwe matekinoroji ekucheka-kumucheto, iyo drones ' kuita budiriro kunoda hunyanzvi uye zvakare inoperekedzwa nekusava nechokwadi (Fisher et al., 2009; Lambert et al., 2004; Stafford, 2000). |
Sezvo pachidiwa nguva dzose kushandisa zviwanikwa zviripo kuti goho riwedzere, varimi vanogona kutora mukana wendege kuti vaone kuvhenekwa kweminda yavo nekukurumidza, kwakaringana, uye kusingadhuri. Michina iyi inokwanisa kutsigira varimi kuti vaone kuti zvirimwa zvavo zvakamira sei uye kuona kuti mvura yakamira sei, danho rekuibva, tumbuyu netumbuyu uye zvinodiwa. Iko kure-kunzwa kugona kwema drones kunogona kupa varimi data rakakosha kuti vatarisire nyaya padanho rekutanga uye nekukasika kupindira kwakakodzera. Nekudaro, izvo zvakanakira tekinoroji zvinogona kuitika chete kana matambudziko akagadziriswa nemazvo. Muchiedza che
matambudziko azvino zvine chekuita nekuchengetedza data, sensor tekinoroji nyaya (semuenzaniso, kuvimbika kana kurongeka kwezviyero), kuomarara kwekubatanidza, uye mutengo wakakura wekuita, zvidzidzo zvenguva yemberi zvinofanirwa kuongorora hunyanzvi, hupfumi, uye kugona kwekuita kwekubatanidza drones dzekurima uye kumwe kutema- edge matekinoroji.
Nokuremara
Chidzidzo chedu chine ganhuriro dzinoverengeka. Chekutanga, zvakawanikwa zvinotarwa nezvinyorwa zvakasarudzirwa kuongororwa kwekupedzisira. Zvakaoma kutora zvidzidzo zvese zvine chekuita nekurima drones, kunyanya izvo zvisina indexed muScopus database. Kupfuurirazve, nzira yekuunganidza data inogumira pakugadzika kwemazwi akakosha ekutsvaga, izvo zvingave zvisingabatanidzi uye zvinotungamira kune zvisingaverengeki zvakawanikwa. Saka, zvidzidzo zvenguva yemberi zvinoda kubhadhara zvakanyanya kune iyo inokonzeresa yekuunganidza data kuita
mhedziso dzakavimbika. Chimwe chipingamupinyi chine chekuita nezvinyorwa zvitsva zvine nhamba yakaderera yezvinyorwa. Ongororo yebhaibheri yakarerekera kune zvakaburitswa kare sezvo ivo vachiwanzo gamuchira mamwe maturakiti nekufamba kwemakore. Zvidzidzo zvenguva pfupi yapfuura zvinoda imwe nguva yenguva yekukwezva kutarisa uye kuunganidza zvinyorwa. Nekuda kweizvozvo, zvidzidzo zvenguva pfupi yapfuura zvinounza shanduko yeparadigm yaisazomira mumabasa gumi epamusoro ane simba. Kuganhurirwa uku kwakatekeshera mukuongororwa kwenzvimbo dzekutsvaga dziri kukurumidza kubuda senge drones dzekurima. Sezvo takabvunza Scopus kuti tidzidze zvinyorwa zvebasa iri, vaongorori venguva yemberi vanogona kufunga zvakasiyana
dhatabhesi, senge Webhu yeSainzi uye IEEE Xplore, yekuwedzera husiku uye nekusimudzira chimiro chekutsvagisa.
Zvidzidzo zvinogoneka zvebhaibheri zvinogona kutarisa mamwe masosi eruzivo akakosha senge mapepa emusangano, zvitsauko, uye mabhuku kuti abudise ruzivo rutsva. Kunyangwe kugadzira mepu uye kuongorora zvinyorwa zvepasi rose nezve drones dzekurima, zvatakawana hazvina kuburitsa zvikonzero zvakakonzera kubuda kwehunyanzvi mumayunivhesiti. Izvi zvinopa nzira yekuenda kunzvimbo itsva yekutsvagisa mukunyatso kutsanangura kuti sei mamwe mayunivhesiti achibudirira kupfuura mamwe kana zvasvika pakutsvagisa nezvekurima.
drones. Pamusoro pezvo, zvidzidzo zvenguva yemberi zvinogona kupa ruzivo rwekugona kwe drones kuwedzera kusimba kwekurima munzira dzakati wandei sekutarisa kwezvakatipoteredza, kutonga kwezvirimwa, uye mepu yemasora sezvakaratidzwa nevaongorori vakati wandei (Chamuah & Singh, 2019; Islam et al., 2021; Popescu et al., 2020; J. Su, Liu, et al., 2018b). Sezvo kuongororwa kwemavara kwakanga kusingagoneki nekuda kwehuwandu hwehuwandu hwemapepa akasarudzwa, pane chido chekuongorora mabhuku akarongeka anoongorora
nzira dzetsvakiridzo dzakashandiswa uye kubatanidzwa kwevarimi muzvidzidzo zvekare. Muchidimbu, ongororo yedu yekutsvagisa drone inofumura hukama husingaoneki hwemuviri weruzivo uyu. Ongororo iyi nokudaro inobatsira kuburitsa hukama pakati pezvinyorwa uye kuongorora chimiro chehungwaru chendima yekutsvagisa. Inotaridzawo hukama huripo pakati pezvinhu zvakasiyana-siyana zvezvinyorwa, senge mazwi evanyori, hukama, uye nyika.
Chirevo chekukwikwidza Kufarira
Vanyori vanozivisa kuti ivo havana vanozivikanwa vanokwikwidza zvido zvemari kana hukama hwehukama hungadai hwakaonekwa kunge hunokanganisa basa rakataurwa mupepa rino.
Mashoko Okuwedzera 1
TITLE-ABS-KEY ((((drone* KANA "isina kufambisa mota yemuchadenga" OR uav* KANA "isina kufambiswa ndege system” KANA uas KANA kuti “ndege inoyereswa kure”) UYE (zvekurima KANA kurima KANA kurima KANA murimi))) UYE (USUSI (PUBYEAR, 2022)) UYE (LIMIT-TO (MUTAURO, “Chirungu”)).
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