Optimizing swine manure composting parameters with integrated CatBoost and XGBoost models: nitrogen loss mitigation and mechanism

In this study, machine learning was used to optimize the aerobic composting process of swine manure to enhance nitrogen retention and compost maturity in order to meet the demand for high-quality organic fertilizers in sustainable agriculture. In this paper, multidimensional parameter data of swine...

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Veröffentlicht in:	Journal of environmental management Jg. 388; S. 125995
Hauptverfasser:	Wu, Xuan, Ren, Ying, Wu, Weilong, Yang, Xu, Yi, Guorong, Zhou, Shunxi, Tang, Kuok Ho Daniel, Huang, Lvwen, Li, Ronghua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Elsevier Ltd 01.07.2025
Schlagworte:	Agriculture Animals Boosting Machine Learning Algorithms Composting Fertilizers Machine Learning Manure Mechanism Nitrogen Nitrogen retention Soil Swine Swine manure composting Visualization of models Nitrogen retention Swine manure composting Visualization of models Mechanism Machine learning
ISSN:	0301-4797, 1095-8630, 1095-8630
Online-Zugang:	Volltext
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