Estimation of Arecanut Yield in Various Climatic Zones of Karnataka using Data Mining Technique: A Survey

M. Manjunatha, A. Parkavi
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引用次数: 7

Abstract

Agriculture is the widely practiced job in India which has the major share in the country's Gross Domestic Profit (GDP). Agriculture in India is being practiced as traditional job because of which agriculture is not being practiced as the technology-driven or technology-oriented job. As a result, the farming practice in India is not producing good economic outcome. Data mining in agriculture is one such emerging trend which aims at improving the farming practice by considering the crop yield data. This crop yield data can be subjected to weather data and soil data in order to analyze the individual or combined effect of weather parameters and soil type on crop yield. This paper highlights some of the data analytical techniques used to analyze the crop yield based on which the current experiment is inspired.
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利用数据挖掘技术估算卡纳塔克邦不同气气带槟榔产量的研究进展
农业是印度广泛从事的工作,在该国的国内生产总值(GDP)中占有主要份额。在印度,农业被视为传统工作,因为农业没有被视为技术驱动或技术导向的工作。因此,印度的农业实践并没有产生良好的经济效益。农业数据挖掘就是这样一种新兴趋势,旨在通过考虑作物产量数据来改进农业实践。这种作物产量数据可以与天气数据和土壤数据相结合,以便分析天气参数和土壤类型对作物产量的单独或综合影响。本文重点介绍了一些用于分析作物产量的数据分析技术,并以此为基础启发了当前的实验。
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