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首页> 外文期刊>Italian Journal of Agronomy >Identification of Biomass Crop Production Area and Genetic Algorithm Application for Optimal Location of Processing Plants
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Identification of Biomass Crop Production Area and Genetic Algorithm Application for Optimal Location of Processing Plants

机译:生物量作物产区的识别和遗传算法在加工厂的优化选址中的应用

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摘要

When planning fiber and biomass production (hemp, Miscanthus, Arundo, Sorghum, etc.) at regional scale, some common problems arise, due to the distance of the production sites to the processing plant and to the very low density of the material to be transported (0,1-0,3 t/m~3). These facts generate sustainability issues related to the needed minimization of costs and the evaluation of the feasibility of the supply chain, in interaction with the yielding possibilities of the areas. Defining optimal production areas within a region is often complicated by aspect related to transport costs, land productivity and its distribution, climate and soil variability. To improve the managing and planning of crop areas, the use of GIS has an important role, particularly when used in connection with simulation models and optimization algorithms. This stress the need to settle appropriate tools for this aim, able to be used in a GIS software framework.
机译:当计划区域规模的纤维和生物质生产(大麻,芒草,阿伦多,高粱等)时,由于生产地点到加工厂的距离以及所生产物料的密度非常低,会出现一些常见问题。运输(0,1-0,3 t / m〜3)。这些事实产生了与所需的最小化成本和供应链可行性评估相关的可持续性问题,并与该地区的增产可能性相互作用。在运输成本,土地生产力及其分布,气候和土壤多变性等方面,界定一个区域内的最佳生产区通常很复杂。为了改善作物面积的管理和规划,使用GIS具有重要作用,尤其是与仿真模型和优化算法结合使用时。这就强调需要为此目的确定合适的工具,以便能够在GIS软件框架中使用。

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