基于地理空间技术的土壤特征对作物生产影响分析的空间决策支持系统

Shoaib Patel, Nilesh Shinolikar, Vidya Patkar, T. Singh
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引用次数: 0

摘要

农业在印度经济中极为重要。农业为印度50%以上的人口提供了生计。由于人口的增加,对食物的需求也增加了,为了满足这种需求,考虑到影响作物生长的各种因素,迫切需要在最适合作物生长的特定地区种植作物。这项研究的目的是利用地理空间技术分析土壤/土地特征,为农民种植合适的作物提供科学支持。为了分析研究区域的合适作物,考虑了各种因素,这些因素包括土壤质地、土壤排水、土壤深度、土壤湿度、土地坡度,以及pH、有机碳、氮、磷和钾的其他营养检查。通过研究各因子对作物生长的重要性,计算适宜性。创建基于web的模型是为了处理动态数据并提供相应的结果。在这一结果的帮助下,我们可以更好地规划农业,因为我们了解了合适的作物和所有合适的条件,这反过来又有助于提高每公顷的产量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial Decision Support System for Impact Analysis of Soil Characteristics on Crop Production Using Geo-Spatial Technologies
Agriculture is extremely important when it comes to the economy of India. Agriculture provides a livelihood for more than 50% of the population of India. Due to the increase in population, the demand for food has also increased and in order to meet this demand, there is a strong need to grow the crops in the particular area where they are best suited considering various factors that affect the crop growth. Aim of the study is to provide scientific support to farmers to grow a suitable crop by analysing the soil/land characteristics using Geospatial techniques. To analyse the appropriate crops in the study area various factors were considered, these are soil texture, soil drainage, soil depth, soil moisture, the slope of the land, and other nutrient checks for pH, organic carbon, nitrogen, phosphorus, and potassium. By studying the importance of each factor on crop growth, suitability is calculated. The web-based model is created to work on dynamic data and provide results accordingly. With the help of this result, we can do better and planned farming as we get to know the suitable crop and with all the right conditions and this in turn will help to get an increase in production per hectare.
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