The project focuses on UAV-based analysis of crop residues, including (I) measuring crop residue yield through plant height and canopy coverage in sorghum and groundnut, (II) assessing residue quality via color indicators for nitrogen content and digestible stover, and (III) evaluating cost-effectiveness of multispectral and hyperspectral cameras for AI-based quality assessment.
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