Water status and plant traits of dry bean assessment using integrated spectral reflectance and RGB image indices with artificial intelligence

Abstract This study investigated the potential of using remote sensing indices with artificial neural networks (ANNs) to quantify the responses of dry bean plants to water stress. Two field experiments were conducted with three irrigation regimes: 100% (B100), 75% (B75), and 50% (B50) of the full ir...

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Auteurs principaux:	Mohamed S. Abd El-baki, M. M. Ibrahim, Salah Elsayed, Zaher Mundher Yaseen, Nadia G. Abd El-Fattah
Format:	Artigo
Langue:	Inglês
Publié:	Nature Portfolio 2025-05-01
Collection:	Scientific Reports
Sujets:	Deficit irrigation Precision agriculture RGB color indices Hyperspectral reflectance Machine learning
Accès en ligne:	https://doi.org/10.1038/s41598-025-00604-3
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