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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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal
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