Temporal Vine Water Status Modeling Through Machine Learning Ensemble Technique and Sentinel-2 Multispectral Images Under Semi-Arid Conditions

New challenges will be experienced by the agriculture sector in the near future, especially due to the effects of climate change. For example, rising temperatures could result in increased evapotranspiration demand, causing difficulties in the management of irrigation practices. Generally, an import...

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Principais autores:	Vincenzo Giannico, Simone Pietro Garofalo, Luca Brillante, Pietro Sciusco, Mario Elia, Giuseppe Lopriore, Salvatore Camposeo, Raffaele Lafortezza, Giovanni Sanesi, Gaetano Alessandro Vivaldi
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2024-12-01
Serija:	Remote Sensing
Teme:	water scarcity predictive modeling Mediterranean environment machine learning precision farming remote sensing
Online dostop:	https://www.mdpi.com/2072-4292/16/24/4784
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