Development and Comparison of Artificial Neural Networks and Gradient Boosting Regressors for Predicting Topsoil Moisture Using Forecast Data

Development and Comparison of Artificial Neural Networks and Gradient Boosting Regressors for Predicting Topsoil Moisture Using Forecast Data

<b>Introduction</b>: The Earth’s growing population is increasing resource consumption, heavily pressuring agriculture, which, currently, uses 70% of the world’s freshwater from rivers and lakes, which, themselves, comprise only 1% of the Earth’s water reserves. Combined with climate cha...

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Bibliographic Details
Main Authors: Miriam Zambudio Martínez, Larissa Haringer Martins da Silveira, Rafael Marin-Perez, Antonio Fernando Skarmeta Gomez
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:AI
Subjects:
topsoil moisture
Artificial Neural Network
Gradient Boosting Regressor
intelligent water management
precision agriculture
environmental monitoring
Online Access:https://www.mdpi.com/2673-2688/6/2/41
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