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Composting municipal solid waste and animal manure in response to the current fertilizer crisis-a recent review
R Pajura - Science of The Total Environment, 2024 - Elsevier
The dynamic price increases of fertilizers and the generation of organic waste are currently
global issues. The growth of the population has led to increased production of solid …
global issues. The growth of the population has led to increased production of solid …
Artificial intelligence and machine learning approaches in composting process: a review
Studies on develo** strategies to predict the stability and performance of the composting
process have increased in recent years. Machine learning (ML) has focused on process …
process have increased in recent years. Machine learning (ML) has focused on process …
Machine-learning intervention progress in the field of organic waste composting: Simulation, prediction, optimization, and challenges
L Huang, J Hou, H Liu - Waste Management, 2024 - Elsevier
Aerobic composting stands as a widely-adopted method for treating organic solid waste
(OSW), simultaneously producing organic fertilizers and soil amendments. This biologically …
(OSW), simultaneously producing organic fertilizers and soil amendments. This biologically …
Evaluation of the influence of rice husk amendment on compost quality in the composting of sewage sludge
FA Temel - Bioresource Technology, 2023 - Elsevier
This study aimed to evaluate the influence of rice husk addition on compost quality and
maturity in sewage sludge composting using a pilot scale aerated in-vessel reactor. During …
maturity in sewage sludge composting using a pilot scale aerated in-vessel reactor. During …
Prediction of composting maturity and identification of critical parameters for green waste compost using machine learning
Y Li, Z Xue, S Li, X Sun, D Hao - Bioresource Technology, 2023 - Elsevier
Ensuring the maturity of green waste compost is crucial to composting processes and quality
control of compost products. However, accurate prediction of green waste compost maturity …
control of compost products. However, accurate prediction of green waste compost maturity …
Machine learning framework for intelligent prediction of compost maturity towards automation of food waste composting system
Reactive composting is a promising technology for recovering valuable resources from food
waste, while its manual regulation is laborious and time-consuming. In this study, machine …
waste, while its manual regulation is laborious and time-consuming. In this study, machine …
Response surface methodology for process optimization in livestock wastewater treatment: A review
With increasing demand for meat and dairy products, the volume of wastewater generated
from the livestock industry has become a significant environmental concern. The treatment of …
from the livestock industry has become a significant environmental concern. The treatment of …
Prediction and optimization of nitrogen losses in co-composting process by using a hybrid cascaded prediction model and genetic algorithm
In this study, the effects of co-composting of food waste and poultry waste on nitrogen losses
and maturity were investigated. The different mixture ratios were used and the effectiveness …
and maturity were investigated. The different mixture ratios were used and the effectiveness …
Modelling and optimization of sewage sludge composting using biomass ash via deep neural network and genetic algorithm
In this study, the use of Deep Cascade Forward Neural Network (DCFNN) was investigated
to model both linear and non-linear chaotic relationships in co-composting of dewatered …
to model both linear and non-linear chaotic relationships in co-composting of dewatered …
Modeling and optimization of process parameters in co-composting of tea waste and food waste: Radial basis function neural networks and genetic algorithm
In this study, the effects of co-composting of food waste (FW) and tea waste (TW) on the
losses of total nitrogen (TN), total organic carbon (TOC), and moisture content (MC) were …
losses of total nitrogen (TN), total organic carbon (TOC), and moisture content (MC) were …