ArticleScientific reports2025
Optimizing rainfed cropping patterns for economic and environmental sustainability in East Lorestan Iran using GIS and LCA.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Under the dual objectives of economic viability and environmental sustainability, sustainable agriculture requires allocating production factors to diverse agricultural activities. The already precarious and unstable position of Iranian agriculture has been exacerbated by excessive reliance on nonrenewable energy and pollution. This study addresses the challenge of unsustainable practices in Iranian rainfed agriculture by recommending a suitable cropping pattern for East Lorestan Province. We integrate Life Cycle Assessment (LCA), Multi-Objective Programming (MOP), and Geographic Information System (GIS) with spatial design to maximize net profit while minimizing environmental impact. The results indicate that the MOP cultivation pattern reduces the global warming potential of the region's rainfed farmlands by 5,980 kg of CO
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