AIMC Topic: Manure
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Machine learning-based prediction of compost maturity and identification of key parameters during manure composting.
Bioresource technology
Dec 26, 2024
Evaluating compost maturity, e.g. via manual seed germination index (GI) measurement, is both time-consuming and costly during composting. This study employed six machine learning methods, including random forest (RF), extra tree (ET), eXtreme gradie...
Assessing the risk of E. coli contamination from manure application in Chinese farmland by integrating machine learning and Phydrus.
Environmental pollution (Barking, Essex : 1987)
Jun 7, 2024
This study aims to present a comprehensive study on the risks associated with the residual presence and transport of Escherichia coli (E. coli) in soil following the application of livestock manure in Chinese farmlands by integrating machine learning...
Higher heating value estimation of wastes and fuels from ultimate and proximate analysis by using artificial neural networks.
Waste management (New York, N.Y.)
May 30, 2024
Higher heating value (HHV) is one of the most important parameters in determining the quality of the fuels. In this study, comparatively large datasets of ultimate and proximate analysis are constructed to be used in HHV estimation of several classes...
Ensemble machine learning prediction of anaerobic co-digestion of manure and thermally pretreated harvest residues.
Bioresource technology
May 3, 2024
This study aimed to clarify the statistical accuracy assessment approaches used in recent biogas prediction studies using state-of-the-art ensemble machine learning approach according to 10-fold cross-validation in 100 repetitions. Three thermally pr...
Deciphering and predicting changes in antibiotic resistance genes during pig manure aerobic composting via machine learning model.
Environmental science and pollution research international
Apr 30, 2024
Livestock manure is one of the most important pools of antibiotic resistance genes (ARGs) in the environment. Aerobic composting can effectively reduce the spread of antibiotic resistance risk in livestock manure. Understanding the effect of aerobic ...
Near infrared spectroscopy quantification based on Bi-LSTM and transfer learning for new scenarios.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Aug 13, 2022
This study proposed a deep transfer learning methodology based on an improved Bi-directional Long Short-Term Memory (Bi-LSTM) network for the first time to address the near infrared spectroscopy (NIR) model transfer issue between samples. We tested i...
Fate of pirlimycin and antibiotic resistance genes in dairy manure slurries in response to temperature and pH adjustment.
The Science of the total environment
Dec 26, 2019
Quantifying the fate of antibiotics and antibiotic resistance genes (ARGs) in response to physicochemical factors during storage of manure slurries will aid in efforts to reduce the spread of resistance when manure is land-applied. The objectives of ...
Co-digestion of Laminaria digitata with cattle manure: A unimodel simulation study of both batch and continuous experiments.
Bioresource technology
Dec 31, 2018
This work investigated the thermophilic (55 °C) co-digestion performance both in batch and continuous mode operation. The biochemical methane potentials of L. digitata and cattle manure were 308 ± 24 and 203 ± 33 mL CH/g VS, respectively. The optimum...
Effluent composition prediction of a two-stage anaerobic digestion process: machine learning and stoichiometry techniques.
Environmental science and pollution research international
May 16, 2018
Computational self-adapting methods (Support Vector Machines, SVM) are compared with an analytical method in effluent composition prediction of a two-stage anaerobic digestion (AD) process. Experimental data for the AD of poultry manure were used. Th...
Modeling and Multiresponse Optimization for Anaerobic Codigestion of Oil Refinery Wastewater and Chicken Manure by Using Artificial Neural Network and the Taguchi Method.
BioMed research international
Dec 26, 2017
To study the optimum process conditions for pretreatments and anaerobic codigestion of oil refinery wastewater (ORWW) with chicken manure, L (3) Taguchi's orthogonal array was applied. The biogas production (BGP), biomethane content (BMP), and chemic...
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