AIMC Topic: Composting

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Artificial intelligence and machine learning approaches in composting process: A review.

Bioresource technology Jan 3, 2023
Studies on developing strategies to predict the stability and performance of the composting process have increased in recent years. Machine learning (ML) has focused on process optimization, prediction of missing data, detection of non-conformities, ...
Neural Networks, Computer Artificial Intelligence Machine Learning Algorithms Composting
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Machine learning and circular bioeconomy: Building new resource efficiency from diverse waste streams.

Bioresource technology Dec 5, 2022
Biorefinery systems are playing pivotal roles in the technological support of resource efficiency for circular bioeconomy. Meanwhile, artificial intelligence presents great potential in handling scientific tasks of high-dimensional complexity. This r...
Artificial Intelligence Machine Learning Prospective Studies Biofuels Composting
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Neural Classification of Compost Maturity by Means of the Artificial Neural Network and Algorithm.

International journal of environmental research and public health Sep 7, 2019
neural models and the algorithm were used to produce a classifier identifying the quality classes of compost, according to the degree of its maturation within a period of time recorded in digital images. Digital images of compost at different stage...
Neural Networks, Computer Artificial Intelligence Software Algorithms Learning Composting
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Optimizing swine manure composting parameters with integrated CatBoost and XGBoost models: nitrogen loss mitigation and mechanism.

Journal of environmental management Jul 1, 2025
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 thi...
Machine Learning Soil Animals Swine Agriculture Nitrogen Manure Fertilizers Boosting Machine Learning Algorithms Composting
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