Decreasing environmental impacts of cropping systems using life cycle assessment (LCA) and multi-objective genetic algorithm

摘要: The environmental awareness of people has increased in recent decades, and the demand for environmentally friendly products caused agro-scientists to give more attention cleaner production. Life cycle assessment (LCA) been identified as a suitable tool assessing impacts associated with product over its life cycle. implementation LCA other management tools can help practitioners evaluate agri-food systems from different viewpoints. In this study, LCA, multi-objective genetic algorithm (MOGA), data envelopment analysis (DEA) were combined, pros cons their application investigated. Three impact categories – global warming (GW), respiratory inorganics (RI) non-renewable energy use (NRE) selected be evaluated. results revealed mean RI, GW NRE case study watermelon production 10.3 kg PM2.5 eq ha−1, 9485.5 kg CO2 eq ha−1 186,432 MJ primary energy ha−1 respectively. LCA + MOGA showed that reduction 27% RI 35% occur if an appropriate combination resources is used LCA + DEA all farmers operate on efficient frontier (suggested values) three reduced by 8%.