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• W4289209625 abstract "An optimization model for the food supply chain is presented. This model is formulated as a Mixed Integer Linear Programming (MILP) problem and optimizes the land distribution, the amount and types of food produced, imported and exported, the number of livestock, the greenhouse gas emissions, the nitrogen uptake, the amount of food waste, etc. The production technologies considered are conventional, organic, conservation agriculture and food production in greenhouses. The requirements of the European Green Agreement and the Farm-to-Fork Strategy are considered. The model was applied to optimize different scenarios in the food chain in Slovenia, such as population growth and changing dietary habits, and to optimize different objectives, such as food self-sufficiency, greenhouse gas emissions, nitrogen balance, economic efficiency and a multicriteria objective. The results show that food supply could be improved through optimization even with the expected population growth. Greenhouse gas emissions and synthetic fertilizer use could be reduced. The results of the model can provide a guide for the development of agricultural policies for sustainable supply of locally produced food." @default.
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• W4289209625 date "2022-01-01" @default.
• W4289209625 modified "2023-10-12" @default.
• W4289209625 title "Multi-objective optimization of the food chain as a support for the development of agricultural sector" @default.
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• W4289209625 doi "https://doi.org/10.1016/b978-0-323-95879-0.50082-5" @default.
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