蔬菜作物轮作规划的线性规划模型:一个案例研究

Q4 Agricultural and Biological Sciences
Anggita Kharisma, T. Perdana
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引用次数: 8

摘要

本文建立了作物生产计划的混合整数线性规划模型。该模型包括四种蔬菜的作物轮作,作为产品多样化,以满足超市的需求。印度尼西亚西爪哇省一个农民团体的生产系统被选为案例研究。决定的方法是在考虑植物科、作物轮作问题、总可用土地超过需求以及每种商品的总收获间隔时间后确定的。这一决定形成了一个为期一年多的每周计划,其中有三种作物轮作计划组合:1)番茄和肯尼亚小豆的组合;2)胡萝卜和小肯尼亚豆的组合;3)马铃薯和肯尼亚豆的组合。该模型生成了一个基于地块和轮作组合的计划,作为农民团体协调者的工具,以最大限度地减少过剩产量并优化作物轮作计划。该研究建议在一年内优化土地利用,为农民提供合适的库存,以实现利润最大化的目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Linear programming model for vegetable crop rotation planning: a case study
This study developed a mix integer linear programming models for crop production planning. The model encompasses the crop rotation of four vegetables as product diversification to fulfil supermarket demand. A production system at one of the farmer groups located in West Java, Indonesia has opted as a case study. The approach of the decision was determined upon the consideration of vegetable botanical family, crop rotation issue, total available land which exceeds the demand, and total interval time for harvesting each of the commodities. The decision has been made into a weekly scheduling plan for over a year with three combinations of crop rotation scheduling which are: 1) the combination of tomato and baby Kenya bean; 2) the combination of carrot and baby Kenya bean; and 3) the combination of potato and Kenya bean. This model generates a schedule based on plot and the combination of the rotation as a tool for a coordinator of the farmers' group to minimise the excess production and optimise the schedule for crop rotation. This study proposes optimisation for land utilisation and the right stock for farmers within a year with maximising profit target.
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来源期刊
International Journal of Agricultural Resources, Governance and Ecology
International Journal of Agricultural Resources, Governance and Ecology Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
0.90
自引率
0.00%
发文量
23
期刊介绍: IJARGE proposes and fosters discussion on the evolution and governance of agricultural resources, with emphasis on the implications that policy choices have on both the welfare of humans and the ecology of the planet. This perspective acknowledges the complexity of the agricultural sector as an interface between ecological and socio-economic processes operating in parallel over different space-time scales, as well as the reflexive characteristic of human systems.
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