Qualitative data analysis using regression method for agricultural data

Pallavi V. Jirapure, Prarthana A. Deshkar
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引用次数: 4

Abstract

The apparent of internet has lead to the data explosion which results in the emergence of Data mining. Extraction of useful knowledge based content and recognizing the patterns in the dataset are comprehended in the recent decade. Analyzing meaningful data and applying knowledge to various disciplines for monitoring is the important features in agriculture domain. India's economy is agriculture based, where majority of Indian population have agriculture and farming as main occupation. Analysis of large datasets in effective way requires understanding of appropriate techniques in data mining. The focus of this paper is to provide and build agricultural based information system for Customer and Farmer interaction where scalability, reliability and integrity of information can be access through cloud based technology. This paper aims to analyze and use data mining techniques specially Regression analysis to forecast the crop production. The forecasting of respective crops analyzes patterns in knowledge lie information of certain parameters and historical data.
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用回归方法对农业数据进行定性数据分析
互联网的出现导致了数据爆炸,数据挖掘技术应运而生。基于知识的有用内容的提取和数据集中模式的识别是近十年来的研究成果。分析有意义的数据并将知识应用于各学科进行监测是农业领域的重要特征。印度的经济是以农业为基础的,大多数印度人口以农业和务农为主要职业。有效地分析大型数据集需要理解数据挖掘中的适当技术。本文的重点是为客户和农民的交互提供和构建基于农业的信息系统,在该系统中,信息的可扩展性、可靠性和完整性可以通过基于云的技术获得。本文旨在分析和利用数据挖掘技术,特别是回归分析来预测作物产量。各作物的预测分析了知识模式、特定参数信息和历史数据。
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