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Farm level land suitability assessment for wheat and mustard crops using geomatics: A case study of Badipur village in Patan district, Gujarat

机译:利用地理学对小麦和芥末作物进行农场水平土地适宜性评估 - 以古吉拉特邦帕坦区的Badipur村为例

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Agriculture is the major livelihood of the majority of the rural population in India. Farmers are forced to produce more food resources with limited land and in adverse climatic conditions in order to cater for the exponentially increasing demand for food. The assessment of the suitability of the crop land can provide a suitable solution for sustainable agricultural production. In this study, efforts have been made to carry out land suitability assessments at farm level using easily available evolution parameters. A methodology has been developed for land suitability assessment using soil health card data. The aim of this study is to determine the physical suitability of the land for producing major crops using a Spatial Multi-Criteria Evaluation (SMCE) approach, and to compare present land use against potential land use. The study was carried out in Badipur village in the Patan district of Gujarat state. The relevant parameters listed in the soil suitability manual of the National Bureau of Soil Survey and Land Use Planning (NBSS & LUP), such as Soil Texture, Soil pH, Soil Salinity, Soil Sodicity, Soil Depth, Soil Electrical Conductivity, Ground Water Quality, Soil Nutrients [Nitrogen (N), Phosphorous (P), Potassium (K)] and Organic Carbon, are considered for suitability analysis. The land evaluation criteria were developed based on farmers' knowledge, the suggestions of agriculture experts, literature, and available crop land suitability criteria. All data were stored in a Geographical Information System (GIS) environment and the maps were generated for each and every parameter. For Multi-Criteria Evaluation (MCE), the pairwise comparison matrix known as the Analytical Hierarchy Process (AHP) was applied, and the areas suitable for major crops were identified. Each farm in Badipur village was classified and mapped into four categories of suitability (Highly suitable, Moderately suitable, Marginally suitable, and Unsuitable) as per the Food and Agriculture Organization (FAO) (1976) qualitative evaluation. The study demonstrates that the spatial Multi-Criteria Decision Making Method (MCDM) technique is a powerful support system for agriculture resource management at farm level. The methodology used in this study can be utilized for implementing crop land suitability at farm level.
机译:农业是印度大多数农村人口的重大生计。农民被迫生产更多土地的食品资源,并在不利的气候条件下,以满足对食物的指数越来越大的需求。评估作物土地的适用性可以为可持续农业生产提供合适的解决方案。在这项研究中,已经使用易于可用的演化参数在农场级别进行土地适用性评估。采用土壤保健卡数据开发了一种方法论已为土地适用性评估开发。本研究的目的是利用空间多标准评估(SMCE)方法来确定生产主要作物的土地的物理适用性,并比较目前土地利用对抗潜在的土地利用。该研究是在古吉拉特邦帕特兰区的Badipur村进行。国家土壤调查和土地利用规划(NBSS&LUP)土壤适宜性手册中所列的相关参数,如土壤质地,土壤pH,土壤盐度,土壤素,土壤深度,土壤导电性,地下水质量,认为土壤营养素[氮气(N),磷(P),钾(钾(K)]和有机碳是适合分析。土地评估标准是基于农民知识,农业专家,文学和可用作物土地适用性标准的建议开发的。所有数据都存储在地理信息系统(GIS)环境中,为每个参数生成地图。对于多标准评估(MCE),施加了称为分析层次处理(AHP)的成对比较矩阵,并且鉴定了适用于主要作物的区域。巴迪尔村的每个农场按照食品和农业组织(粮农组织)(1976)定性评估,分为四类适用性(高度适宜,中等合适,非常适合,不合适的)。该研究表明,空间多标准决策方法(MCDM)技术是农业资源管理在农业水平的强大支持系统。本研究中使用的方法可用于在农业层面实施作物土地适用性。

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