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Perspectives for Remote Sensing with Unmanned Aerial Vehicles in Precision Agriculture

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来源:
Trends in Plant Science
全文链接1:
file1/M00/06/5D/Csgk0FxRZ6-AOzHSACqYtdjBZxY471.pdf
全文链接2:
https://www.sciencedirect.com/science/article/pii/S1360138518302693
类型:
学术文献
语种:
英文
原文发布日期:
2018-12-15
摘要:
Remote sensing with unmanned aerial vehicles (UAVs) is a game-changer in precision agriculture. It offers unprecedented spectral, spatial, and temporal resolution, but can also provide detailed vegetation height data and multiangular observations. In this article, we review the progress of remote sensing with UAVs in drought stress, in weed and pathogen detection, in nutrient status and growth vigor assessment, and in yield prediction. To transfer this knowledge to everyday practice of precision agriculture, future research should focus on exploiting the complementarity of hyperspectral or multispectral data with thermal data, on integrating observations into robust transfer or growth models rather than linear regression models, and on combining UAV products with other spatially explicit information.
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