Advances in application of machine learning to life cycle assessment: a literature review

A Ghoroghi, Y Rezgui, I Petri, T Beach - The International Journal of Life …, 2022 - Springer
Abstract Purpose Life Cycle Assessment (LCA) is the process of systematically assessing
impacts when there is an interaction between the environment and human activity. Machine …

[PDF][PDF] Artificial intelligence and machine learning in food industries: A study

R Khan - J Food Chem Nanotechnol, 2022 - researchgate.net
The excessive widespread in the use of Artificial Intelligence (AI) is quietly lessening
interactive communication between humans, and rapidly turning the world automotive …

Modeling energy consumption using machine learning

SA Sarswatula, T Pugh, V Prabhu - Frontiers in Manufacturing …, 2022 - frontiersin.org
Electrical, metal, plastic, and food manufacturing are among the major energy-consuming
industries in the US Since 1981, the US Department of Energy Industrial Assessments …

[HTML][HTML] A simplified machine learning product carbon footprint evaluation tool

S Lang, B Engelmann, A Schiffler, J Schmitt - Cleaner Environmental …, 2024 - Elsevier
On the way to climate neutrality manufacturing companies need to assess the Carbon
dioxide (CO 2) emissions of their products as a basis for emission reduction measures. The …

Machine-learning-based carbon footprint management in the frozen vegetable processing industry

M Scherer, P Milczarski - Energies, 2021 - mdpi.com
In the paper, we present a method of automatic evaluation and optimization of production
processes towards low-carbon-emissions products. The method supports the management …

Machine learning methods in energy consumption optimization assessment in food processing industry

P Milczarski, Z Stawska, A Hłobaż… - 2021 11th IEEE …, 2021 - ieeexplore.ieee.org
In the paper, the study of the carbon footprint optimization process is shown in order to
receive low-carbon products. A short description of the Carbon Footprint assessment …

[PDF][PDF] The carbon footprint methodology in CFOOD project

Z Stawska, P Milczarski, B Zieliński… - … of Electronics and …, 2020 - bibliotekanauki.pl
In the paper, the research on the process of optimizing the carbon footprint to obtain the low-
carbon products is presented. The optimization process and limits were analyzed based on …

Optimization Algorithm for Emission Reduction Schemes Based on Carbon Footprint Prediction

H Sun, F Wang, M Wang, J Liu, Q Guan - International Conference on …, 2024 - Springer
Greenhouse gas emissions, especially carbon dioxide, play a critical role in intensifying
climate change, a challenge exacerbated by the carbon-intensive operations of businesses …

Optimizing Energy Utilization in Smart Manufacturing Using Machine Learning Within the Framework of Industry 4.0

ID Belghiti, L Hamza… - 2024 11th International …, 2024 - ieeexplore.ieee.org
This research explores how machine learning can enhance energy efficiency in
manufacturing operations within the context of Industry 4.0, taking advantage of the …

Impact of Artificial Intelligence and Machine Learning in the Food Industry: A Survey

A Sharma, K Mittal, S Kumar, U Sharma… - … in Agriculture and …, 2022 - igi-global.com
In recent years, the food sector or industry has escalated to prominence as the most
important industry to receive widespread attention. It encompasses various industrial …