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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Vydané v:	Journal of environmental management Ročník 388; s. 125995
Hlavní autori:	Wu, Xuan, Ren, Ying, Wu, Weilong, Yang, Xu, Yi, Guorong, Zhou, Shunxi, Tang, Kuok Ho Daniel, Huang, Lvwen, Li, Ronghua
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Elsevier Ltd 01.07.2025
Predmet:	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
On-line prístup:	Získať plný text
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