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 change, the sit...

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主要な著者:	Miriam Zambudio Martínez, Larissa Haringer Martins da Silveira, Rafael Marin-Perez, Antonio Fernando Skarmeta Gomez
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2025-02-01
シリーズ:	AI
主題:	topsoil moisture Artificial Neural Network Gradient Boosting Regressor intelligent water management precision agriculture environmental monitoring
オンライン･アクセス:	https://www.mdpi.com/2673-2688/6/2/41
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