Research graph
References from Reducing energy consumption through the implementation of AI to control aeration intensity in the composting process. Local targets link to admitted publications; unresolved targets remain external evidence.
A systematic review of AI-based techniques for automated waste classification
10.3390/s25103181 · 2025 · External reference
Addition of discarded tennis balls as an inert bulking agent to olive mill waste and pig slurry during composting reduces energy consumption related to ventilation and anaerobic gas generation
10.1016/j.jenvman.2025.127905 · 2025 · External reference
Lignite effects on NH3, N2O, CO2 and CH4 emissions during composting of manure
10.1016/j.jenvman.2020.110960 · 2020 · External reference
Unresolved reference
2006 · External reference
Determination of the energy and environmental burdens associated with biological treatment of source-separated municipal solid waste
10.1039/c2ee01085b · 2012 · External reference
Improving kitchen waste composting maturity by optimizing processing parameters using a machine learning model
10.1016/j.biortech.2022.127606 · 2022 · External reference
Mixture design formulation for optimized composting using artificial intelligence algorithms
2019 · External reference
Effect of aeration strategies on the composting process: part I. Experimental studies
10.13031/2013.17612 · 2004 · External reference
Unresolved reference
2022 · External reference
Unresolved reference
2019 · External reference
Unresolved reference
2018 · External reference
Unresolved reference
2019 · External reference
Application of machine learning methods for predicting organic solid waste treatment and recycling processes: a review
10.1016/j.biortech.2020.124114 · 2021 · External reference
Unresolved reference
2017 · External reference
Emission patterns of volatile organic compounds during aerobic biotreatment of municipal solid waste using continuous and intermittent aeration
10.1080/10962247.2012.658954 · 2012 · External reference
Unresolved reference
2007 · External reference
Effect of C/N ratio, aeration rate and moisture content on ammonia and greenhouse gas emissions during composting
10.1016/s1001-0742(10)60591-8 · 2011 · External reference
Price predictions of scrap steel for north China via machine learning
2024 · External reference
Chinese energy security index price forecasting through the neural network
2025 · External reference
Inter-city housing price causality in Fujian: contemporaneous analysis via vector error-correction and directed acyclic graph models
10.1007/s11135-026-02740-y · 2026 · External reference
Prediction and optimization of nitrogen losses in co-composting process by using a hybrid cascaded prediction model and genetic algorithm
10.1016/j.cej.2022.135499 · 2022 · External reference
Using convolutional neural networks to classify compost maturity based on sewage sludge and rapeseed straw
10.1016/j.jclepro.2020.120814 · 2020 · External reference
Evaluation of humic substances during co-composting of sewage sludge and corn stalk under different aeration rates
10.1016/j.biortech.2017.08.177 · 2017 · External reference
Artificial intelligence in waste management in the context of the circular economy
2024 · External reference
Stratified aeration as an effective method for ammonia and greenhouse gas mitigation in composting
2025 · External reference
Composting: phases and factors responsible for efficient and improved composting
2021 · External reference
Machine learning-driven prediction of nitrogen loss in organic solid waste composting
10.1016/j.jia.2025.09.002 · 2026 · External reference
Moisture content monitoring in industrial-scale composting using low-cost sensor-based ML techniques
10.1016/j.biortech.2022.127456 · 2022 · External reference
AI-driven waste management systems: a comparative review of innovations in the USA and Africa
2024 · External reference
Implications of stakeholder perspective for LCA of wasted food and green waste
10.1016/j.jclepro.2017.09.239 · 2018 · External reference
Sustainability assessment of the green compost production chain
10.3390/agronomy10020230 · 2020 · External reference
Unresolved reference
2026 · External reference
A systematic review on the composting of green waste: feedstock quality and optimization strategies
10.1016/j.wasman.2018.04.037 · 2018 · External reference
Optimizing the early-stage of composting process emissions – artificial intelligence primary tests
2024 · External reference
The effect of selected parameters on the stabilization efficiency of the organic fraction of municipal solid waste (OFMSW) in the mechanical and biological treatment plant (MBT)
2019 · External reference
Machine learning-based prediction of compost maturity and identification of key parameters during manure composting
10.1016/j.biortech.2024.132024 · 2025 · External reference
Numerical model for simulating hydraulic parameters of aeration systems ensuring uniform oxygenation of compost heaps
2024 · External reference
Optimization of composting process in real condition
2011 · External reference
Impact of reduced straw content on sewage sludge composting
10.24425/aep.2020.135766 · 2020 · External reference
Polychlorinated biphenyl concentration changes in sewage sludge and municipal waste mixtures during composting and anaerobic digestion
10.1016/j.chemosphere.2014.12.051 · 2015 · External reference
Model selection and estimation of kinetic parameters of oxygen consumption during biostabilization of under-size fraction of municipal solid waste
2016 · External reference
Artificial intelligence and machine learning approaches in composting processes: a review
2023 · External reference
Synergizing environmental and economic benefits in aerobic composting: a life cycle assessment and cost-benefit analysis
2025 · External reference
Influence of aeration method on gaseous emissions and carbon and nitrogen losses during cow manure composting
10.3390/app112411639 · 2021 · External reference
Corn cash price forecasting
10.1002/ajae.12041 · 2020 · External reference
Bacterial dynamics and gaseous emissions in response to aeration intensities during kitchen waste composting
2019 · External reference
Dynamics of oxygen supply and consumption during large-scale composting in China
10.1016/j.biortech.2016.08.070 · 2016 · External reference
Interval aeration improves degradation and humification by enhancing microbial interactions in the composting process
10.1016/j.biortech.2022.127296 · 2022 · External reference
