Advancing irrigation uniformity monitoring through remote sensing: A deep-learning framework for identifying the source of non-uniformity

Efficient agricultural water management ensures crop productivity and sustainability amidst climate change and water scarcity. This study integrates remote sensing and deep learning to advance irrigation uniformity monitoring by identifying sources of non-uniformity. Sentinel-2 satellite imagery fro...

Full description

Bibliographic Details

Published in:	Agricultural Water Management
Main Authors:	Ígor Boninsenha, Daran R. Rudnick, Everardo C. Mantovani, Higor de Q. Ribeiro
Format:	Article
Language:	English
Published:	Elsevier 2025-04-01
Subjects:	Convolutional Neural Networks Satellite-Derived Christiansen Uniformity Coefficient Google Earth Engine Sentinel-2 NDVI Irrigation Efficiency
Online Access:	http://www.sciencedirect.com/science/article/pii/S0378377425000903