Explainable Artificial Intelligence to Predict the Water Status of Cotton (<i>Gossypium hirsutum</i> L., 1763) from Sentinel-2 Images in the Mediterranean Area

Explainable Artificial Intelligence to Predict the Water Status of Cotton (<i>Gossypium hirsutum</i> L., 1763) from Sentinel-2 Images in the Mediterranean Area

Climate change and water scarcity bring significant challenges to agricultural systems in the Mediterranean region. Novel methods are required to rapidly monitor the water stress of the crop to avoid qualitative losses of agricultural products. This study aimed to predict the stem water potential of...

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Bibliographic Details
Main Authors: Simone Pietro Garofalo, Anna Francesca Modugno, Gabriele De Carolis, Nicola Sanitate, Mesele Negash Tesemma, Giuseppe Scarascia-Mugnozza, Yitagesu Tekle Tegegne, Pasquale Campi
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Plants
Subjects:
drought stress
Gossypium
machine learning
satellite
remote sensing
Optuna
Online Access:https://www.mdpi.com/2223-7747/13/23/3325
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https://www.mdpi.com/2223-7747/13/23/3325

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