Multispectral and Hyperspectral Imaging for Crop Water Status Assessment
This research investigates the use of airborne and UAV-mounted hyperspectral sensors to detect plant-based water stress indicators before visible wilting occurs. The findings establish new spectral indices and machine learning classifiers that improve irrigation trigger accuracy and reduce yield losses.
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