Environmental sustainability of fruit and vegetable production supply chains in the face of climate change: A review

R Parajuli, G Thoma, MD Matlock - Science of the Total Environment, 2019 - Elsevier
This study discusses importance of assessing environmental sustainability of fruits and
vegetable (F&V) production sector in future climate change (CC) scenarios. For the current …

The artificial neural network for solar radiation prediction and designing solar systems: a systematic literature review

A Qazi, H Fayaz, A Wadi, RG Raj, NA Rahim… - Journal of cleaner …, 2015 - Elsevier
Solar energy generated by sunlight has a non-schedulable nature due to the stochastic
environment of meteorological conditions. Hence, power system control and the energy …

Modeling of energy consumption and environmental life cycle assessment for incineration and landfill systems of municipal solid waste management-A case study in …

A Nabavi-Pelesaraei, R Bayat… - Journal of cleaner …, 2017 - Elsevier
As the economy has improved in Iran, residents have produced more municipal solid wastes
in recent decades. The various scenarios for municipal solid waste management are …

Integration of artificial intelligence methods and life cycle assessment to predict energy output and environmental impacts of paddy production

A Nabavi-Pelesaraei, S Rafiee, SS Mohtasebi… - Science of the total …, 2018 - Elsevier
Prediction of agricultural energy output and environmental impacts play important role in
energy management and conservation of environment as it can help us to evaluate …

Sustainable supply chain management: A modeling perspective

M Brandenburg, T Rebs - Annals of Operations Research, 2015 - Springer
Nowadays, the integration of sustainability into supply chain management (SCM) is a key
issue for ensuring corporate competitiveness in face of dynamic ecological and social …

Development of air quality monitoring (AQM) models using different machine learning approaches

C Amuthadevi, DS Vijayan… - Journal of Ambient …, 2021 - Springer
Air Quality assessment and forecasting are the essentials today and they attracted many
researchers. Environmental organizations regularly monitor and predict the air contaminants …

[HTML][HTML] Prediction models for marshall mix parameters using bio-inspired genetic programming and deep machine learning approaches: A comparative study

F Althoey, MN Akhter, ZS Nagra, HH Awan… - Case Studies in …, 2023 - Elsevier
This research study utilizes four machine learning techniques, ie, Multi Expression
programming (MEP), Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Inference …

Air pollution prediction using semi-experimental regression model and Adaptive Neuro-Fuzzy Inference System

M Zeinalnezhad, AG Chofreh, FA Goni… - Journal of Cleaner …, 2020 - Elsevier
Lifestyle development and increasing urbanisation and consumption of fossil fuels,
monitoring and controlling air pollution have become more important. This study has used …

Interrogating greenhouse gas emissions of different dietary structures by using a new food equivalent incorporated in life cycle assessment method

M Zhang, H Li, S Chen, Y Liu, S Li - Environmental Impact Assessment …, 2023 - Elsevier
Greenhouse gas (GHG) emissions from food are of great importance for global warming
effects. Life cycle assessment (LCA) method has been widely used in this field. In previous …

[HTML][HTML] How could Artificial Intelligence be used to increase the potential of biorefineries in the near future? A review

A Arias, G Feijoo, MT Moreira - Environmental Technology & Innovation, 2023 - Elsevier
Innovation in digitalization and low-carbon technologies are leading the way for the
production sector. In the context of the bioeconomy, a path is opening up for the integration …