Estimation of water stress in maize cultivation utilizing thermal and multispectral imaging from UAVs with machine learning algorithms in Lambayeque, Peru

Maize (Zea mays L.) is a fundamental cereal in global food security, but its vulnerability to water stress compromises its productivity and threatens food availability. This study analyzed the relationship between the crop water stress index (CWSI), obtained from thermal images captured by the Zenmu...

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Bibliographic Details

Published in:	Revista de Teledetección
Main Authors:	Camila Cruz-Grimaldo, Cesar Vilca-Gamarra, José Millan-Ramírez, Sheyla Y. Chumbimune-Vivanco, Cristina Llanos-Carrillo, Elvis Vera, Alex Agurto, Javier Quille-Mamani, Hairo León
Format:	Article
Language:	English
Published:	Universitat Politècnica de València 2025-10-01
Subjects:	crop water stress index (cwsi) machine learning precision agriculture thermal image vegetation index
Online Access:	https://polipapers.upv.es/index.php/raet/article/view/23671