无人机低成本多光谱成像系统在精准农业中的应用

J. L. E. Honrado, Dominic B. Solpico, C. Favila, Edgardo Tongson, G. Tangonan, Nathaniel J. C. Libatique
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引用次数: 27

摘要

我们报告了无人机(无人机)在菲律宾伊莎贝拉省水稻和玉米田的成像任务。光谱反射传感器被部署用于地面真实,而航空图像由RGB和nir改装的相机产生。地面真值传感器作为校准点,将测量扩展到整个成像场。基于无人机的任务提供高分辨率和空间范围所需的图像,目标是混合种植制度和具有不同开始日期的多农户地块。目前由地方政府单位用来监测和管理区域农业的基于分类账的监测系统可以通过这种无人机图像加以改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
UAV imaging with low-cost multispectral imaging system for precision agriculture applications
We report on UAV(unmanned aerial vehicle)-based imaging missions over rice and corn fields in Isabela province in the Philippines. Spectral reflectance sensors were deployed for ground truthing, while aerial imagery were produced from RGB and NIR-retrofitted cameras. The ground truth sensors function as calibration points for extending the measurements over the whole imaged field. UAV-based missions deliver the high resolution and spatial scope required of imagery targeting mixed cropping regimes and multiple-farmer plots that have differing starting dates. The ledger-based monitoring systems currently employed by local government units to monitor and manage regional agriculture can be improved by such UAV imagery.
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