What good are unmanned aircraft systems for agricultural remote sensing and precision agriculture?

Remote sensing from unmanned aircraft systems (UAS) was expected to be an important new technology to assist farmers with precision agriculture, especially crop nutrient management. There are three advantages using UAS platforms compared to manned aircraft platforms with the same sensor for precisio...

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Vydané v:International journal of remote sensing Ročník 39; číslo 15-16; s. 5345 - 5376
Hlavní autori: Hunt, E. Raymond, Daughtry, Craig S. T.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London Taylor & Francis 18.08.2018
Taylor & Francis Ltd
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ISSN:0143-1161, 1366-5901, 1366-5901
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Shrnutí:Remote sensing from unmanned aircraft systems (UAS) was expected to be an important new technology to assist farmers with precision agriculture, especially crop nutrient management. There are three advantages using UAS platforms compared to manned aircraft platforms with the same sensor for precision agriculture: (1) smaller ground sample distances, (2) incident light sensors for image calibration, and (3) canopy height models created from structure-from-motion point clouds. These developments hold promise for future data products. In order to better match vendor capabilities with farmer requirements, we classify applications into three general niches: (1) scouting for problems, (2) monitoring to prevent yield losses, and (3) planning crop management operations. The three different niches have different requirements for sensor calibration and have different costs of operation. Planning crop management operations may have the most environmental and economic benefits. However, a USDA Economic Research Report showed that only about 20% of farmers in the USA have adopted variable rate applicators; so, most farmers in the USA may not have the technology to benefit from management plans. In the near-term, monitoring to prevent yield losses from weeds, insects, and diseases may provide the most economic and environmental benefits, but the costs for data acquisition need to be reduced.
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ISSN:0143-1161
1366-5901
1366-5901
DOI:10.1080/01431161.2017.1410300