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CROP SUITABILITY ANALYSIS FOR CEREAL CROPS OF UTTAR PRADESH, INDIA

机译:印度北方邦谷物作物作物适宜性分析

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摘要

The crop suitability is the process of assessing the appropriateness or ability of a given type of land on the basis of growing conditions of a particular crop. The study focused on the crop suitability analysis of cereal crops for their production in Uttar Pradesh. Information about crop suitability is essential for proper management of agriculture in the study area. Remote sensing and GIS data provide a reliable information and technique to find suitable land for crops. The research was based on GIS based Multi-Criteria Decision Approach. The AMSR-2 (Advance Microwave Scanning Radiometer) soil moisture data, Carto-DEM, soil chemical and physical properties and climate data were used to identify the crop suitability in the study area. Weightage of different factors was arrived at based on input and feedback from experts. An Analytical Hierarchical Process (AHP) was used in ArcGIS environment to generate suitability map for the cereals crop. The suitability map has been categorised in the form of highly suitable, moderately suitable, low suitable and non-agricultural/ non-suitable region of the study area for Wheat, Rice, Sorghum, Maize and Pearl Millet/Bajra.The overall study indicates that the study area has a huge potential of cereal crop production. Therefore, improved levels of agricultural production can be achieved by cultivating crop in highly and moderately suitable areas; and practicing diversification of marginally suitable areas to crops other than that for which it is low suitable.
机译:作物适用性是根据特定作物的生长条件评估给定类型土地的适当性或能力的过程。该研究侧重于谷物饲养谷物作物的作物适应性分析。有关作物适当性的信息对于研究区域的适当管理是必不可少的。遥感和GIS数据提供可靠的信息和技术,以寻找合适的作物。该研究基于基于GIS的多标准决策方法。 AMSR-2(先进微波扫描辐射计)土壤水分数据,CARTO-DEM,土壤化学和物理性质和气候数据用于识别研究区的作物适用性。基于专家的投入和反馈来抵达不同因素的重量。 ArcGIS环境中使用了分析层次过程(AHP),以为谷物作物产生适用性图。适用性地图以高度适合,中等合适,低合适的和非农业/非农业/非合适的区域的形式分类为小麦,水稻,高粱,玉米和珍珠米勒/ BAJRA的研究区。整体研究表明研究区具有巨大的谷物作物生产潜力。因此,通过在高度和中等合适的区域培养作物,可以实现改善的农业生产水平;并练习略微合适的区域的多样化,以除了它低于合适的作物。

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