Pradel M., David R., Gaudin F. (2024). O-AMIE: A tool combining systems engineering and life cycle assessment to eco-design agricultural practices and assess their environmental impacts. Computers and Electronics in Agriculture, 01/12/2024, vol. 227, part. I, p. 109558.
https://doi.org/10.1016/j.compag.2024.109558
https://doi.org/10.1016/j.compag.2024.109558
Titre : | O-AMIE: A tool combining systems engineering and life cycle assessment to eco-design agricultural practices and assess their environmental impacts (2024) |
Auteurs : | M. Pradel ; R. David ; F. Gaudin |
Type de document : | Article |
Dans : | Computers and Electronics in Agriculture (vol. 227, part. I, December 2024) |
Article en page(s) : | p. 109558 |
Langues : | Anglais |
Langues du résumé : | Anglais |
Catégories : |
Catégories principales 06 - AGRICULTURE. FORÊTS. PÊCHES ; 6.4 - Production Agricole. Système de ProductionThésaurus IAMM PRATIQUE AGRICOLE ; DURABILITE ; ANALYSE DU CYCLE DE VIE ; INGENIERIE ; IMPACT SUR L'ENVIRONNEMENT ; EVALUATION IMPACT SUR ENVIRONNEMENT |
Résumé : | Agricultural practices are responsible for several environmental impacts; thus, sustainable practices need to be promoted. Environmental impacts of agricultural practices can be estimated using life cycle assessment (LCA). However, since agricultural systems are complex due to their strong interactions with the environment, specific methods need to be used to assess them. To meet this objective, this study combined systems engineering and life cycle assessment, supported by development of the tool O-AMIE (Outil d?Analyse et de Management des Impacts Environnementaux in French; Environmental impact analysis and management tool, in English), using Matlab®, Simulink® and the platform PhiSim (Sherpa Engineering). This tool was developed to help users design and validate operating systems used in agriculture (e.g., tractors, robots), calculate environmental impacts of process systems that use these operating systems (e.g., a complete set of crop management, field operations and cropping techniques) and provide a framework for standardizing agricultural LCAs. Here, we specifically focused on the conceptual framework and model of O-AMIE as well as the model-based design used to build high-level field-operation models. |
Cote : | En ligne |
URL / DOI : | https://doi.org/10.1016/j.compag.2024.109558 |