Optimizing nitrogen estimates in common bean canopies throughout key growth stages via spectral and textural data from unmanned aerial vehicle (UAV) multispectral imagery.
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This study evaluates the integration of multispectral and texture data from UAV imagery to estimate leaf nitrogen content (LNC) in common bean across different growth stages. Our models were developed using data from a single location over two seasons; thus, broader validation is needed across diverse environmental conditions and cultivars.
Palabras clave
Feijão, Phaseolus Vulgaris, Nitrogênio, Spectral analysis, Multispectral imagery, Beans