Qualitative data analysis using regression method for agricultural data

机译：利用农业数据回归方法的定性数据分析

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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.

机译：互联网的明显导致数据爆炸导致数据挖掘的出现。在最近的十年内，可以理解有用的基于知识的内容并识别数据集中的模式。分析有意义的数据和对各种学科的知识，用于监测的重要特征是农业领域的重要特征。印度的经济是基于农业的，其中大多数印度人口都有农业和农业作为主要职业。以有效方式分析大型数据集需要了解数据挖掘的适当技术。本文的重点是为客户和农民互动提供和构建农业信息系统，其中可以通过基于云的技术进行可扩展性，可靠性和完整性。本文旨在分析和使用数据挖掘技术特别回归分析，以预测作物生产。各种作物预测分析了某些参数和历史数据的知识谎言信息中的模式。

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《World Conference on Futuristic Trends in Research and Innovation for Social Welfare》|2016年|452p|共6页
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Pallavi V. Jirapure; Prarthana A. Deshkar;
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中图分类 C913-53;
关键词
Data mining; Agriculture; Linear regression; Cloud computing; Production; Data analysis;

机译：数据挖掘;农业;线性回归;云计算;生产;数据分析;

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4. Qualitative data analysis using regression method for agricultural data [C] . Pallavi V. Jirapure, Prarthana A. Deshkar 2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare . 2016

机译：使用回归方法对农业数据进行定性数据分析
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Qualitative data analysis using regression method for agricultural data

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