Multi-criteria Assessment Using AHP Techniques for Agricultural Land Suitability Sharazoor and Sharbazher, Sulaimani as a Case study

Sivan Ahmed, A. Hama, A. Ziboon
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Abstract

Land suitableness evaluation should be essential before implementing any specific land use, particularly within the agricultural sector. The aim of this study was to determine suitable lands for agricultural use in the Sharazoor and Sharbazher districts. The Analytical Hierarchy Process method, commonly used in land-use suitability analysis, was used in this study. According to Analytical hierarchy process (AHP) techniques, to generate a land suitability graph various main criteria such as climate (rain, temperature, humidity), soil (texture, colour, PH ), land (elevation, slope, area, distance), and Agriculture services (Crop rotation, pesticide type, planting scheduling date, Seed variety, farm management, education level, number of personal work in the farm, equipment, production rate, planting rate, planting days, harvesting) factors were used. The questionary form is created. The form was distributed to academic people and ideal farmer for determine the importance of each criterion. In the result, the weight value is 0.465, 0.242, 0.209, and 0.084 for the Climate, Soil, Land, and Agriculture service respectively. Climate criteria are most important, and Agriculture has the least influence over decision-making procedures. According to AHP techniques, the ranking value ranges between 6.48-5.06 for producing wheat in the study area. The suitable land for producing wheat is in Kanispika village. Kelakawa Village's land is best suited for producing barely, when ranking values ranging from 6.08 to 5.15.
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基于AHP技术的农业用地适宜性多标准评价——以Sharazoor和Sharbazher, Sulaimani为例
在实施任何具体的土地使用之前,特别是在农业部门内,必须进行土地适宜性评价。这项研究的目的是确定Sharazoor和Sharbazher地区适合农业使用的土地。本研究采用土地利用适宜性分析中常用的层次分析法。根据层次分析法(AHP)技术,利用气候(降雨、温度、湿度)、土壤(质地、颜色、PH值)、土地(高程、坡度、面积、距离)和农业服务(作物轮作、农药类型、种植计划日期、种子品种、农场管理、教育水平、农场个人工作数量、设备、生产率、种植率、种植天数、收获)等因素,生成土地适宜性图。疑问句的形式被创建。该表格分发给学术界人士和理想农民,以确定每个标准的重要性。结果表明,气候服务、土壤服务、土地服务和农业服务的权重值分别为0.465、0.242、0.209和0.084。气候标准是最重要的,而农业对决策程序的影响最小。根据层次分析法,研究区小麦生产的排序值在6.48 ~ 5.06之间。Kanispika村是适宜种植小麦的土地。Kelakawa村的土地最适合种植小麦,排名在6.08到5.15之间。
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