Prospects of improving agricultural and water productivity through unmanned aerial vehicles
Unmanned Aerial Vehicles (UAVs) are an alternative to costly and time-consuming traditional methods to improve agricultural water management and crop productivity through the acquisition, processing, and analyses of high-resolution spatial and temporal crop data at field scale. UAVs mounted with mul...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
MDPI
2020
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/109693 |
| _version_ | 1855538515009339392 |
|---|---|
| author | Nhamo, Luxon Magidi, J. Nyamugama, A. Clulow, A.D. Sibanda, M. Chimonyo, Vimbayi Grace Petrova Mabhaudhi, Tafadzwanashe |
| author_browse | Chimonyo, Vimbayi Grace Petrova Clulow, A.D. Mabhaudhi, Tafadzwanashe Magidi, J. Nhamo, Luxon Nyamugama, A. Sibanda, M. |
| author_facet | Nhamo, Luxon Magidi, J. Nyamugama, A. Clulow, A.D. Sibanda, M. Chimonyo, Vimbayi Grace Petrova Mabhaudhi, Tafadzwanashe |
| author_sort | Nhamo, Luxon |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Unmanned Aerial Vehicles (UAVs) are an alternative to costly and time-consuming traditional methods to improve agricultural water management and crop productivity through the acquisition, processing, and analyses of high-resolution spatial and temporal crop data at field scale. UAVs mounted with multispectral and thermal cameras facilitate the monitoring of crops throughout the crop growing cycle, allowing for timely detection and intervention in case of any anomalies. The use of UAVs in smallholder agriculture is poised to ensure food security at household level and improve agricultural water management in developing countries. This review synthesises the use of UAVs in smallholder agriculture in the smallholder agriculture sector in developing countries. The review highlights the role of UAV derived normalised difference vegetation index (NDVI) in assessing crop health, evapotranspiration, water stress and disaster risk reduction. The focus is to provide more accurate statistics on irrigated areas, crop water requirements and to improve water productivity and crop yield. UAVs facilitate access to agro-meteorological information at field scale and in near real-time, important information for irrigation scheduling and other on-field decision-making. The technology improves smallholder agriculture by facilitating access to information on crop biophysical parameters in near real-time for improved preparedness and operational decision-making. Coupled with accurate meteorological data, the technology allows for precise estimations of crop water requirements and crop evapotranspiration at high spatial resolution. Timely access to crop health information helps inform operational decisions at the farm level, and thus, enhancing rural livelihoods and wellbeing. |
| format | Journal Article |
| id | CGSpace109693 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | CGSpace1096932025-03-11T09:50:20Z Prospects of improving agricultural and water productivity through unmanned aerial vehicles Nhamo, Luxon Magidi, J. Nyamugama, A. Clulow, A.D. Sibanda, M. Chimonyo, Vimbayi Grace Petrova Mabhaudhi, Tafadzwanashe agricultural productivity water productivity unmanned aerial vehicles water management plant health crop yield monitoring vegetation index remote sensing evapotranspiration water stress irrigation scheduling mapping smallholders farmers models disaster risk reduction resilience satellite imagery cost benefit analysis Unmanned Aerial Vehicles (UAVs) are an alternative to costly and time-consuming traditional methods to improve agricultural water management and crop productivity through the acquisition, processing, and analyses of high-resolution spatial and temporal crop data at field scale. UAVs mounted with multispectral and thermal cameras facilitate the monitoring of crops throughout the crop growing cycle, allowing for timely detection and intervention in case of any anomalies. The use of UAVs in smallholder agriculture is poised to ensure food security at household level and improve agricultural water management in developing countries. This review synthesises the use of UAVs in smallholder agriculture in the smallholder agriculture sector in developing countries. The review highlights the role of UAV derived normalised difference vegetation index (NDVI) in assessing crop health, evapotranspiration, water stress and disaster risk reduction. The focus is to provide more accurate statistics on irrigated areas, crop water requirements and to improve water productivity and crop yield. UAVs facilitate access to agro-meteorological information at field scale and in near real-time, important information for irrigation scheduling and other on-field decision-making. The technology improves smallholder agriculture by facilitating access to information on crop biophysical parameters in near real-time for improved preparedness and operational decision-making. Coupled with accurate meteorological data, the technology allows for precise estimations of crop water requirements and crop evapotranspiration at high spatial resolution. Timely access to crop health information helps inform operational decisions at the farm level, and thus, enhancing rural livelihoods and wellbeing. 2020-07-01 2020-09-30T10:34:16Z 2020-09-30T10:34:16Z Journal Article https://hdl.handle.net/10568/109693 en Open Access MDPI Nhamo, Luxon; Magidi, J.; Nyamugama, A.; Clulow, A. D.; Sibanda, M.; Chimonyo, V. G. P.; Mabhaudhi, T. 2020. Prospects of improving agricultural and water productivity through unmanned aerial vehicles. Agriculture, 10(7):256. doi: 10.3390/agriculture10070256 |
| spellingShingle | agricultural productivity water productivity unmanned aerial vehicles water management plant health crop yield monitoring vegetation index remote sensing evapotranspiration water stress irrigation scheduling mapping smallholders farmers models disaster risk reduction resilience satellite imagery cost benefit analysis Nhamo, Luxon Magidi, J. Nyamugama, A. Clulow, A.D. Sibanda, M. Chimonyo, Vimbayi Grace Petrova Mabhaudhi, Tafadzwanashe Prospects of improving agricultural and water productivity through unmanned aerial vehicles |
| title | Prospects of improving agricultural and water productivity through unmanned aerial vehicles |
| title_full | Prospects of improving agricultural and water productivity through unmanned aerial vehicles |
| title_fullStr | Prospects of improving agricultural and water productivity through unmanned aerial vehicles |
| title_full_unstemmed | Prospects of improving agricultural and water productivity through unmanned aerial vehicles |
| title_short | Prospects of improving agricultural and water productivity through unmanned aerial vehicles |
| title_sort | prospects of improving agricultural and water productivity through unmanned aerial vehicles |
| topic | agricultural productivity water productivity unmanned aerial vehicles water management plant health crop yield monitoring vegetation index remote sensing evapotranspiration water stress irrigation scheduling mapping smallholders farmers models disaster risk reduction resilience satellite imagery cost benefit analysis |
| url | https://hdl.handle.net/10568/109693 |
| work_keys_str_mv | AT nhamoluxon prospectsofimprovingagriculturalandwaterproductivitythroughunmannedaerialvehicles AT magidij prospectsofimprovingagriculturalandwaterproductivitythroughunmannedaerialvehicles AT nyamugamaa prospectsofimprovingagriculturalandwaterproductivitythroughunmannedaerialvehicles AT clulowad prospectsofimprovingagriculturalandwaterproductivitythroughunmannedaerialvehicles AT sibandam prospectsofimprovingagriculturalandwaterproductivitythroughunmannedaerialvehicles AT chimonyovimbayigracepetrova prospectsofimprovingagriculturalandwaterproductivitythroughunmannedaerialvehicles AT mabhaudhitafadzwanashe prospectsofimprovingagriculturalandwaterproductivitythroughunmannedaerialvehicles |