Maturity Prediction and Correlation Analysis of Additive-Treated Cattle and Sheep Manure Composts and Vermicomposts Using Machine Learning Algorithms

Accurate prediction of compost maturity is vital for ensuring quality, safety, minimum substrate weight loss and agronomic performance of compost products. In this study, eight supervised machine learning (ML) classification models including Random Forest, Logistic Regression, Decision Tree, Gaussia...

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Автори:	Shno Karimi, Hossein Shariatmadari, Mohammad Shayannejad, Farshid Nourbakhsh
Формат:	Artigo
Мова:	Inglês
Опубліковано:	MDPI AG 2026-04-01
Серія:	Agriculture
Предмети:	compost maturity machine learning ensemble models vermicomposting classification accuracy
Онлайн доступ:	https://www.mdpi.com/2077-0472/16/8/834
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