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在精准农业中使用无人机进行遥感的展望。

Perspectives for Remote Sensing with Unmanned Aerial Vehicles in Precision Agriculture.

机构信息

Laboratory of Hydrology and Water Management (LHWM), Faculty of Bioscience Engineering, Ghent University, Coupure links 653, 9000 Gent, Belgium.

Laboratory of Plant Ecology, Faculty of Bioscience Engineering, Ghent University, Coupure links 653, 9000 Gent, Belgium.

出版信息

Trends Plant Sci. 2019 Feb;24(2):152-164. doi: 10.1016/j.tplants.2018.11.007. Epub 2018 Dec 15.

Abstract

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.

摘要

利用无人机进行遥感是精准农业的变革者。它提供了前所未有的光谱、空间和时间分辨率,但也可以提供详细的植被高度数据和多角度观测。本文综述了利用无人机遥感技术在干旱胁迫、杂草和病原体检测、养分状况和生长活力评估以及产量预测方面的进展。为了将这些知识转化为精准农业的日常实践,未来的研究应集中于开发高光谱或多光谱数据与热数据的互补性,将观测结果整合到稳健的传输或生长模型中,而不是线性回归模型中,以及将无人机产品与其他空间显式信息相结合。

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