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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
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...

Machine learning and circular bioeconomy: Building new resource efficiency from diverse waste streams.

Bioresource technology
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 and machine learning approaches in composting process: A review.

Bioresource technology
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, ...