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Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network

https://doi.org/10.1016/j.fuel.2020.118573

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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inferred← citeshttps://doi.org/10.1016/j.energy.2022.126449openalex-snapshot

Optimisation and performance evaluation of response surface methodology (RSM), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in the prediction of biogas production from palm oil mill effluent (POME)

inferred← citeshttps://doi.org/10.1016/j.energy.2023.126774openalex-snapshot

Anaerobic digestion of dry palms from five cultivars of Algerian date palm (Phoenix dactylifera L.) namely H'mira, Teggaza, Tinacer, Aghamou and Takarbouchet: A new comparative study

inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106720openalex-snapshot

Internet of agriculture: Analyzing and predicting tractor ride comfort through supervised machine learning

inferred← citeshttps://doi.org/10.1016/j.engappai.2025.113333openalex-snapshot

A systematic review on the adoption of artificial intelligence technologies in renewable energy systems in Australia

inferred← citeshttps://doi.org/10.1016/j.envadv.2022.100340openalex-snapshot

Development of a surrogate model for the simulation of anaerobic co-digestion of pineapple peel waste and slaughterhouse wastewater: Appraisal of experimental and kinetic modeling

inferred← citeshttps://doi.org/10.1016/j.envpol.2024.123386openalex-snapshot

Municipal solid waste management for low-carbon transition: A systematic review of artificial neural network applications for trend prediction

inferred← citeshttps://doi.org/10.1016/j.est.2022.104761openalex-snapshot

State of charge estimation for a group of lithium-ion batteries using long short-term memory neural network

inferred← citeshttps://doi.org/10.1016/j.fuel.2020.118932openalex-snapshot

Enhancement of landfill gas generation from aged waste by a combination of moisture adjustment and application of biochar and neutral red additives: A field-scale study

inferred← citeshttps://doi.org/10.1016/j.fuel.2020.119574openalex-snapshot

Parametric optimization of biogas potential in anaerobic co-digestion of biomass wastes

inferred← citeshttps://doi.org/10.1016/j.fuel.2021.121627openalex-snapshot

Co-digestion of vegetable peel with cow dung without external inoculum for biogas production: Experimental and a new modelling test in a batch mode

inferred← citeshttps://doi.org/10.1016/j.fuel.2021.121734openalex-snapshot

Use of artificial neural network and adaptive neuro-fuzzy inference system for prediction of biogas production from spearmint essential oil wastewater treatment in up-flow anaerobic sludge blanket reactor

inferred← citeshttps://doi.org/10.1016/j.fuel.2022.124237openalex-snapshot

The novel advancements of nanomaterials in biofuel cells with a focus on electrodes’ applications

inferred← citeshttps://doi.org/10.1016/j.fuel.2022.124565openalex-snapshot

Biolubricant production from castor oil using iron oxide nanoparticles as an additive: Experimental, modelling and tribological assessment

inferred← citeshttps://doi.org/10.1016/j.fuel.2022.124856openalex-snapshot

Effect of stirring speeds on biodiesel yield using an innovative oscillatory reactor and conventional STR (A comparative study)

inferred← citeshttps://doi.org/10.1016/j.fuel.2022.126456openalex-snapshot

Biogas generation from biomass as a cleaner alternative towards a circular bioeconomy: Artificial intelligence, challenges, and future insights

inferred← citeshttps://doi.org/10.1016/j.fuel.2023.128765openalex-snapshot

Co-pyrolysis of Azadirachta indica non-edible seed and waste LDPE: Analysis of kinetic models using thermogravimetric analyser and prediction modeling with Artificial Neural Network (ANN)

inferred← citeshttps://doi.org/10.1016/j.fuel.2024.131545openalex-snapshot

Comparative evaluation of Artificial intelligence based models and kinetic studies in the prediction of biogas from anaerobic digestion of MSW

inferred← citeshttps://doi.org/10.1016/j.fuel.2025.134787openalex-snapshot

Enhancing biogas production from municipal wastewater sludge and grease trap waste: Explainable machine learning models for prediction and parameter identification

inferred← citeshttps://doi.org/10.1016/j.fuel.2025.135206openalex-snapshot

Machine learning for predicting methane production and optimizing parameter in anaerobic digestion process

inferred← citeshttps://doi.org/10.1016/j.htopen.2026.100048openalex-snapshot

Applications of machine learning for prediction and optimization of biogas production: A mini-review

inferred← citeshttps://doi.org/10.1016/j.ibiod.2026.106325openalex-snapshot

Explainable machine learning-based prediction of methane production in tomato waste-cheese whey anaerobic digestion: Impact of co-digestion and substrate to inoculum ratios

inferred← citeshttps://doi.org/10.1016/j.icheatmasstransfer.2022.106140openalex-snapshot

Knacks of neuro-computing to study the unsteady squeezed flow of MHD carbon nanotube with entropy generation

inferred← citeshttps://doi.org/10.1016/j.jclepro.2023.136248openalex-snapshot

Comparing the effect of mesophilic and thermophilic anaerobic co-digestion for sustainable biogas production: An experimental and recurrent neural network model study

inferred← citeshttps://doi.org/10.1016/j.jclepro.2023.137242openalex-snapshot

Estimating energy consumption and GHG emissions in crop production: A machine learning approach

inferred← citeshttps://doi.org/10.1016/j.jece.2022.107988openalex-snapshot

Artificial neural network modeling of biochar enhanced anaerobic sewage sludge digestion

inferred← citeshttps://doi.org/10.1016/j.jece.2025.118585openalex-snapshot

Effect of liquid fraction of digestate and CaO pretreatment on dry anaerobic digestion of highland barley straw at different total solids content: Performance, microbial mechanism, and artificial neural network analysis

inferred← citeshttps://doi.org/10.1016/j.jece.2026.122326openalex-snapshot

Pretreatment optimization and machine learning-based prediction of methane production from fruit wastes

inferred← citeshttps://doi.org/10.1016/j.jenvman.2021.113009openalex-snapshot

Comparison of decabromodiphenyl ether degradation in long-term operated anaerobic bioreactors under thermophilic and mesophilic conditions and the pathways involved

inferred← citeshttps://doi.org/10.1016/j.jenvman.2024.123658openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.jenvman.2025.127076openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.jics.2026.102954openalex-snapshot

Renewable biomethane production from sustainable agricultural waste co-digestion

inferred← citeshttps://doi.org/10.1016/j.jwpe.2023.103493openalex-snapshot

Process modelling and optimisation of methane yield from palm oil mill effluent using response surface methodology and artificial neural network

inferred← citeshttps://doi.org/10.1016/j.matpr.2023.06.376openalex-snapshot

A review on emerging trends in the scientific application of nano-coatings and nanoparticle synthesis

inferred← citeshttps://doi.org/10.1016/j.psep.2022.02.033openalex-snapshot

Investigation on the co-pyrolysis of agricultural waste and high-density polyethylene using TG-FTIR and artificial neural network modelling

inferred← citeshttps://doi.org/10.1016/j.psep.2022.04.013openalex-snapshot

An integrated framework of data-driven, metaheuristic, and mechanistic modeling approach for biomass pyrolysis

inferred← citeshttps://doi.org/10.1016/j.psep.2022.04.055openalex-snapshot

Investigation on the pyrolysis process, products characteristics and BP neural network modelling of pine sawdust, cattle dung, kidney bean stalk and bamboo

inferred← citeshttps://doi.org/10.1016/j.renene.2022.07.056openalex-snapshot

A classifier to detect best mode for Solar Chimney Power Plant system

inferred← citeshttps://doi.org/10.1016/j.renene.2024.120137openalex-snapshot

Non-destructive estimation of biomass characteristics: Combining hyperspectral imaging data with neural networks

inferred← citeshttps://doi.org/10.1016/j.renene.2024.120393openalex-snapshot

Assessing the impact of alkali pretreatment of rice husk on its composition and product portfolio: Tradeoff between biogas and valuable materials recovery for sustainability

inferred← citeshttps://doi.org/10.1016/j.renene.2024.121347openalex-snapshot

Optimization and prediction of biogas yield from pretreated Ulva Intestinalis Linnaeus applying statistical-based regression approach and machine learning algorithms

inferred← citeshttps://doi.org/10.1016/j.rinp.2021.104484openalex-snapshot

Forecast of the outbreak of COVID-19 using artificial neural network: Case study Qatar, Spain, and Italy

inferred← citeshttps://doi.org/10.1016/j.scenv.2024.100089openalex-snapshot

Investigation of waste LDPE with Pongamia pinnata seed for sustainable resource recovery: Thermodynamics, Kinetics and artificial neural network modeling for co-pyrolysis potential

inferred← citeshttps://doi.org/10.1016/j.scitotenv.2020.143528openalex-snapshot

Environmental impacts of solar photovoltaic systems: A critical review of recent progress and future outlook

inferred← citeshttps://doi.org/10.1016/j.scitotenv.2024.174447openalex-snapshot

Artificial neural networks in soil quality prediction: Significance for sustainable tea cultivation

inferred← citeshttps://doi.org/10.1016/j.seta.2022.102223openalex-snapshot

Key wastes selection and prediction improvement for biogas production through hybrid machine learning methods

inferred← citeshttps://doi.org/10.1016/j.seta.2024.104006openalex-snapshot

Modeling and optimization of biomethanation of rice straw with biochar supplementation using response surface methodology and machine learning

inferred← citeshttps://doi.org/10.1021/acs.est.3c08331openalex-snapshot

Data Science Applications in Circular Economy: Trends, Status, and Future

inferred← citeshttps://doi.org/10.1021/acsestengg.1c00316openalex-snapshot

Data-Driven Based In-Depth Interpretation and Inverse Design of Anaerobic Digestion for CH 4 -Rich Biogas Production

inferred← citeshttps://doi.org/10.1021/acsestengg.3c00043openalex-snapshot

A Critical Review of Data Science Applications in Resource Recovery and Carbon Capture from Organic Waste

inferred← citeshttps://doi.org/10.1038/s41598-025-09527-5openalex-snapshot

Application of multimodal machine learning-based analysis for the biomethane yields of NaOH-pretreated biomass

inferred← citeshttps://doi.org/10.1038/s41598-025-19288-wopenalex-snapshot

Prediction of waste generation forecast and emission potential on the Erode City solid waste dump yards based on machine learning approach

inferred← citeshttps://doi.org/10.1051/e3sconf/202455201024openalex-snapshot

Investigation and analysis of a sustainable agro-based nanocoating on surface of metallic materials

inferred← citeshttps://doi.org/10.1080/15435075.2021.1914630openalex-snapshot

Application of artificial neural network and kinetic modeling for the prediction of biogas and methane production in anaerobic digestion of several organic wastes

inferred← citeshttps://doi.org/10.1080/17597269.2025.2487734openalex-snapshot

Quantity of biogas produced through co-digestion of Brewer’s spent grain and cattle dung

inferred← citeshttps://doi.org/10.1080/23311916.2022.2034375openalex-snapshot

Prediction of slurry operating temperature and biogas production rate using ambient temperature forecast as input parameter for underground brick-built biogas digesters

inferred← citeshttps://doi.org/10.1088/1402-4896/ad3e3copenalex-snapshot

Prediction of anaerobic digestion performance by quantum convolutional reconstruction gated recurrent neural network*

inferred← citeshttps://doi.org/10.1088/1742-6596/2401/1/012076openalex-snapshot

Design of Biogas Production Prediction Model Based on Improved BP Neural Network and Genetic Algorithm

inferred← citeshttps://doi.org/10.1088/1742-6596/2450/1/012069openalex-snapshot

Design of a prediction model based on improved BP neural network and particle swarm optimization for more accurate budget of biogas production

inferred← citeshttps://doi.org/10.1109/aset56582.2023.10180765openalex-snapshot

Purifying of Biogas Produced from Anaerobic Digestions Processes: An Economical Assessment

inferred← citeshttps://doi.org/10.1109/iccc54292.2022.9805871openalex-snapshot

Artificial Intelligence Approach In Predicting Biomass-to-Biofuels Conversion Performances

inferred← citeshttps://doi.org/10.1109/icsd60021.2024.10751324openalex-snapshot

IoT-Based Smart Solution for Biogas Plant Operation

inferred← citeshttps://doi.org/10.1109/incit63192.2024.10810517openalex-snapshot

AI-Driven Market Demand Prediction: An Artificial Neural Network Model for Horticultural Commodities

inferred← citeshttps://doi.org/10.1109/nigercon62786.2024.10927288openalex-snapshot

Prediction of Cumulative biogas yield for FFV using Support Vector Regression

inferred← citeshttps://doi.org/10.1109/seb-sdg57117.2023.10124529openalex-snapshot

Advances in Nano-coating and Nanoparticles - A Brief Review

inferred← citeshttps://doi.org/10.1109/sitis57111.2022.00080openalex-snapshot

Smart Irrigation Management System

inferred← citeshttps://doi.org/10.1111/jfpe.13674openalex-snapshot

Application of artificial neural networks for predicting parameters of commercial vacuum cooling process of baby cos lettuce

inferred← citeshttps://doi.org/10.1115/1.4066059openalex-snapshot

Downdraft Gasification for Biogas Production: The Role of Artificial Intelligence

inferred← citeshttps://doi.org/10.1145/3444757.3485113openalex-snapshot

Smart Collective Irrigation

inferred← citeshttps://doi.org/10.1155/er/4260678openalex-snapshot

An Approachable Anaerobic Bioreactor for Remote Biogas Production: Experimental Analysis and Neuroevolution Modeling

inferred← citeshttps://doi.org/10.1177/27533735261495706openalex-snapshot

Artificial intelligence in biogas production: A bibliometric analysis of trends, methods, and global research dynamics (1994–2024)

inferred← citeshttps://doi.org/10.1515/ijcre-2022-0131openalex-snapshot

Experimental and kinetic studies of biogas production from petroleum oily sludge by anaerobic co-digestion with animals’ dung at thermophilic conditions

inferred← citeshttps://doi.org/10.15376/biores.19.2.2179-2200openalex-snapshot

Effect of alkaline pretreatment on the characteristics of barley straw and modeling of methane production via codigestion of pretreated straw with sewage sludge

inferred← citeshttps://doi.org/10.15587/1729-4061.2023.276431openalex-snapshot

Optimizing biogas production using artificial neural network

inferred← citeshttps://doi.org/10.21203/rs.3.rs-5185081/v1openalex-snapshot

Agricultural dry residues management stretegies and its potential for Biogas Production

inferred← citeshttps://doi.org/10.21203/rs.3.rs-9917351/v1openalex-snapshot

Enhancing Machine Learning models of biogas production in wastewater treatment plants using hybrid Bayesian optimization based on Gaussian process

inferred← citeshttps://doi.org/10.2166/ws.2025.083openalex-snapshot

Development of PSO-SVR and ANN models to evaluate the effect of cross-sectional shape on denitrifying bioreactors

inferred← citeshttps://doi.org/10.22190/fuwlep2301045mopenalex-snapshot

MAPPING AGRICULTURAL WASTE FOR BIOGAS PRODUCTION USING A FULLY CONVOLUTIONAL NEURAL NETWORK AND REMOTE SENSING IMAGERY

inferred← citeshttps://doi.org/10.2298/csis220227062iopenalex-snapshot

Internet of things and agent-based system to improve water use efficiency in collective irrigation

inferred← citeshttps://doi.org/10.25054/22161325.2783openalex-snapshot

Subproductos generados en el tratamiento y valorización de residuos sólidos urbanos dentro del concepto de biorrefinería: una revisión sistemática

inferred← citeshttps://doi.org/10.2991/aebmr.k.211225.005openalex-snapshot

Is Using Biogas Fuel More Profitable for Rural Communities in Yogyakarta?

inferred← citeshttps://doi.org/10.31272/jeasd.28.2.1openalex-snapshot

INFLUENCE OF SUBCRITICAL WATER PRETREATMENT TEMPERATURE ON PINEAPPLE WASTE BIOGAS EFFICIENCY: EXPERIMENTAL AND KINETIC STUDY

inferred← citeshttps://doi.org/10.32006/eeep.2025.2.2043openalex-snapshot

MODELLING OF THE ANAEROBIC DIGESTION OF ORGANIC WASTES IN CONTINUOUSLY STIRRED TANK REACTORS – A REVIEW

inferred← citeshttps://doi.org/10.3389/fenrg.2025.1589782openalex-snapshot

Embodiment of machine learning in biogas power industry: an opinion

inferred← citeshttps://doi.org/10.3390/agriculture10100475openalex-snapshot

Time Series Prediction with Artificial Neural Networks: An Analysis Using Brazilian Soybean Production

inferred← citeshttps://doi.org/10.3390/agriculture14112091openalex-snapshot

Investigating the Influence of Organic Loading Rate, Temperature and Stirring Speed on Biogas Production Using Agricultural Waste in South Africa

inferred← citeshttps://doi.org/10.3390/agronomy13123030openalex-snapshot

Machine Learning for Prediction of Energy Consumption and Broken Force in the Chopping Process of Maize Straw

inferred← citeshttps://doi.org/10.3390/ani16020210openalex-snapshot

Prediction of Ammonia Mitigation Efficiency in Sodium Bisulfate-Treated Broiler Litter Using Artificial Neural Networks

inferred← citeshttps://doi.org/10.3390/app13179826openalex-snapshot

Estimation of Compressive Resistance of Briquettes Obtained from Groundnut Shells with Different Machine Learning Algorithms

inferred← citeshttps://doi.org/10.3390/en14020276openalex-snapshot

Scenario Analysis for Selecting Sewage Sludge-to-Energy/Matter Recovery Processes

inferred← citeshttps://doi.org/10.3390/en16083378openalex-snapshot

Decoding Anaerobic Digestion: A Holistic Analysis of Biomass Waste Technology, Process Kinetics, and Operational Variables

inferred← citeshttps://doi.org/10.3390/en16145458openalex-snapshot

Hydrothermal Carbonization of Digestate Produced in the Biogas Production Process

inferred← citeshttps://doi.org/10.3390/en19184244openalex-snapshot

Artificial Intelligence and Machine Learning for Bioenergy Generation from Anaerobic Digestion: Data Processing Pipelines, Predictive Models, and Intelligent Control

inferred← citeshttps://doi.org/10.3390/engproc2025095003openalex-snapshot

Biogas Production Using Flexible Biodigester to Foster Sustainable Livelihood Improvement in Rural Households

inferred← citeshttps://doi.org/10.3390/fermentation11010043openalex-snapshot

Harnessing the Influence of Pressure and Nutrients on Biological CO2 Methanation Using Response Surface Methodology and Artificial Neural Network—Genetic Algorithm Approaches

inferred← citeshttps://doi.org/10.3390/fermentation9080726openalex-snapshot

Anaerobic Fermentation of Slaughterhouse Waste—Codigestion with Wheat Straw to Determine Methane Biochemical Potential and Kinetic Analysis

inferred← citeshttps://doi.org/10.3390/microorganisms9010190openalex-snapshot

Interactions between Anaerobic Fungi and Methanogens in the Rumen and Their Biotechnological Potential in Biogas Production from Lignocellulosic Materials

inferred← citeshttps://doi.org/10.3390/s21134451openalex-snapshot

A Fishery Water Quality Monitoring and Prediction Evaluation System for Floating UAV Based on Time Series

inferred← citeshttps://doi.org/10.3390/s23010164openalex-snapshot

Neural Modelling in the Exploration of the Biomethane Potential from Cattle Manure: A Case Study on Herds Structure from Wielkopolskie, Podlaskie, and Mazowieckie Voivodeships in Poland

inferred← citeshttps://doi.org/10.3390/su151813557openalex-snapshot

A Review on Applications of Artificial Intelligence in Wastewater Treatment

inferred← citeshttps://doi.org/10.3390/su16125145openalex-snapshot

Investigating Methane, Carbon Dioxide, Ammonia, and Hydrogen Sulphide Content in Agricultural Waste during Biogas Production

inferred← citeshttps://doi.org/10.4018/979-8-3693-6468-0.ch011openalex-snapshot

Harnessing Artificial Intelligence for Circular Economy in Agriculture

inferred← citeshttps://doi.org/10.46254/an11.20210869openalex-snapshot

A Decision Process for the Applications of Artificial Intelligence in Sustainable Operations and Supply Chain Management

inferred← citeshttps://doi.org/10.46632/bmes/1/4/3openalex-snapshot

Performance Analysis of Agricultural Waste Using Gray Relational Analysis (GRA) Method

inferred← citeshttps://doi.org/10.5004/dwt.2023.29399openalex-snapshot

Forecasting the municipal sewage sludge amount generated at wastewater treatment plants using some machine learning methods

inferred← citeshttps://doi.org/10.51201/jusst/21/07334openalex-snapshot

Optimization and Prediction of Daily Methane Production for Food Waste By using The Artificial Neural Network (ANN)

inferred← citeshttps://doi.org/10.55670/fpll.fuen.3.3.2openalex-snapshot

Achieving zero-bill for the grid-connected PV systems in Saudi Arabia governmental schools: a techno-economic analysis

inferred← citeshttps://doi.org/10.55708/js0104013openalex-snapshot

An Elaborate Breakdown of the Essentials of Biogas Production

inferred← citeshttps://doi.org/10.5772/intechopen.100470openalex-snapshot

Biotechnology Applications in the Pectin Industry

inferred← citeshttps://doi.org/10.5772/intechopen.114190openalex-snapshot

Introductory Chapter: Present and Future of Artificial Intelligence in Grasslands Conservation

inferred← citeshttps://doi.org/10.59247/jppmi.v1i1.4openalex-snapshot

Biogas power plant in kalipucang hamlet, bangunjiwo village, kasihan district, bantul regency

inferred← citeshttps://doi.org/10.59247/jppmi.v1i10.49openalex-snapshot

Dissemination of Assistance Technology for Making Green Products Based on Waste Cooking, and Socializing the Legality of Brands

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.