Image features with weights exceeding 0.03 and displaying extremely significant correlation with LAI (without restricting the size of correlation coefficients) were chosen for subsequent LAI estimation of winter wheat.
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Inversion of winter wheat leaf area index from UAV multispectral images: classical vs. deep learning approaches.
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