Temporal alignment of UAV hyperspectral and phenotype data via autoencoders for predicting nitrogen and nicotine content in cured tobacco leaves
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Post-curing nitrogen content (cNg) and nicotine content (cNt) constitute fundamental chemical attributes that govern the quality of flue-cured tobacco leaves. In this study, we investigate the use of unmanned aerial vehicle (UAV)-borne hyperspectral imagery in... ...
