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dc.contributor.authorSibanda, Mbulisi
dc.contributor.authorNhamo, Luxon
dc.contributor.authorMagidi, James
dc.date.accessioned2021-01-21T09:37:29Z
dc.date.available2021-01-21T09:37:29Z
dc.date.issued2020
dc.identifier.citationSibanda, M. et al. (2020). Prospects of improving agricultural and water productivity through unmanned aerial vehicles. Agriculture (Switzerland), 10(7),256, 1-18en_US
dc.identifier.issn2077-0472
dc.identifier.uri10.3390/agriculture10070256
dc.identifier.urihttp://hdl.handle.net/10566/5712
dc.description.abstractUnmanned 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.en_US
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.subjectCrop healthen_US
dc.subjectDronesen_US
dc.subjectWater productivityen_US
dc.subjectRemote sensingen_US
dc.subjectResilienceen_US
dc.titleProspects of improving agricultural and water productivity through unmanned aerial vehiclesen_US
dc.typeArticleen_US


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