Machine Learning Approach for Predicting Environmental Impact: A Neuro-Fuzzy Model for Life Cycle Impact Assessment of Strawberry Production
Authors
Maksims Feofilovs
Institute of Energy Systems and Environment, Riga Technical University, Latvia
Majid Zaeemi
Bioeconomy in Transition Research Group, IDEA, Unitelma Sapienza - University of Rome, Rome, Italy
Andrea Cappelli
Department of Chemical Engineering Materials Environment (DICMA), Faculty of Civil and Industrial Engineering, Sapienza University of Rome, Italy
Francesco Romagnoli
Institute of Energy Systems and Environment, Riga Technical University, Latvia
Language: English
Page range: 243 - 258
Submitted on: Apr 4, 2025
Accepted on: Jun 2, 2025
Published on: Jun 28, 2025
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: 2 times per year
Related subjects:
© 2025 Maksims Feofilovs, Majid Zaeemi, Andrea Cappelli, Francesco Romagnoli, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.