首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >SITE SUITABILITY FOR DEVELOPING NEW COLD CHAIN USING MULTI-CRITERIA DECISION ANALYSIS AND GEOSPATIAL TECHNIQUES
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SITE SUITABILITY FOR DEVELOPING NEW COLD CHAIN USING MULTI-CRITERIA DECISION ANALYSIS AND GEOSPATIAL TECHNIQUES

机译:使用多标准决策分析和地理空间技术开发新冷链的现场适用性

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Growth and performance of various sectors of a country largely depends on the infrastructure developed by the country. It is true about the agricultural sector also. Along with the numbers, the location of these infrastructure play a vital role in reducing cost to the farmers while utilizing the existing resources like land, water, electricity and road network to their optimum level. India is the second largest producer of fruits, vegetable and tea. Against the total production of more than 500 MMT of horticultural & non-horticultural produces, the total cold storage capacity is estimated at approximately 31 MMT, which is not even 10% of the total production. In view of this, a site suitability study was conducted to develop an optimum plan to locate cold storages in the state of Uttar Pradesh, a leading potato growing state. Factors considered for evolving the plan includes the site of production, i.e. region where potato is grown, road network, existing cold storage, electricity and land use. When there are various factors behind any decision-making process, it becomes a complex process. It becomes difficult to decide which factor is to be given more importance and how other factors can be compounded with each other to arrive at a decision. Analytical Hierarchy process (AHP), helps us in determining the relative importance of various factors to arrive at a decision. In view of infrastructure planning, an illustrative map indicating spatial features is vital. As is widely established, remote sensing and GIS helps to obtain such a spatial map. Remote sensing and GIS was used to generate maps of the factors involved. AHP was used to develop weights of the factors in relation to each other to generate a map showing site suitability of places for developing cold storage facilities.
机译:一个国家各个部门的增长和表现在很大程度上取决于该国开发的基础设施。关于农业部门也是如此。随着数字,这些基础设施的位置在利用土地,水,电力和道路网络等现有资源到最佳水平时,在降低农民的成本时发挥着至关重要的作用。印度是第二大水果,蔬菜和茶的生产国。违反500多亩园艺和非园艺生产的总产量,总冷藏容量估计约为31毫米,甚至占总生产的10%。鉴于此,进行了一个站点适用性研究,以开发一个最佳计划,以定位在北方邦的领先马铃薯生长状态下的冷藏处。考虑不断发展该计划的因素包括生产现场,即土豆的地区,道路网络,现有的冷库,电力和土地利用。当任何决策过程背后有各种因素时,它将成为一个复杂的过程。难以确定要更重要的是哪个因素以及其他因素如何相互复合,以达到决定。分析层次处理(AHP),有助于我们确定各种因素到达决定的相对重要性。鉴于基础设施规划,指示空间特征的说明性图是至关重要的。正如广泛建立的那样,遥感和GIS有助于获得这样的空间地图。遥感和GIS用于生成所涉及的因素的地图。 AHP用于开发相对于彼此相关的因素的权重,以产生用于开发冷藏设施的地点的地图。

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