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Soil Science-Informed Machine Learning

Machine learning (ML) applications in soil science have significantly increased over the past two decades, reflecting a growing trend towards data-driven research addressing soil security. This extensive application has mainly focused on enhancing predictions of soil properties, particularly soil or...

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Autori principali: Budiman Minasny, Toshiyuki Bandai, Teamrat A. Ghezzehei, Yin-Chung Huang, Yuxin Ma, Alex B. McBratney, Wartini Ng, Sarem Norouzi, Jose Padarian, Rudiyanto, Amin Sharififar, Quentin Styc, Marliana Widyastuti
Natura: Artigo
Lingua:Inglês
Pubblicazione: Elsevier 2024-12-01
Serie:Geoderma
Soggetti:
Artificial Intelligence
Process-based models
Physics Informed Neural Networks
Informed Machine Learning
Mechanistic models
Pedology
Accesso online:http://www.sciencedirect.com/science/article/pii/S0016706124003239
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