Qualitative data analysis using regression method for agricultural data

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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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：互联网的出现导致数据爆炸，这导致了数据挖掘的出现。在最近的十年中，人们已经理解了基于有用知识的内容的提取和数据集中模式的识别。分析有意义的数据并将知识应用于各个学科进行监视是农业领域的重要特征。印度的经济以农业为基础，印度大部分人口以农业和农业为主要职业。有效地分析大型数据集需要了解数据挖掘中的适当技术。本文的重点是为客户和农民之间的互动提供并构建基于农业的信息系统，通过基于云的技术可以访问信息的可伸缩性，可靠性和完整性。本文旨在分析和使用数据挖掘技术，特别是回归分析来预测作物产量。各个农作物的预报分析模式中的知识在于某些参数和历史数据的信息。

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《2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare》|2016年|1-6|共6页
会议地点 Coimbatore(IN)
作者
Pallavi V. Jirapure; Prarthana A. Deshkar;
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作者单位

Dept. of Computer Science and Engg., Yashwantrao Chavan College of Engineering, Hingna Road, Nagpur-441110, India;

Dept. of Computer Science and Engg., Yashwantrao Chavan College of Engineering, Hingna Road, Nagpur-441110, India;

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原文格式 PDF
正文语种 eng
中图分类
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 World Conference on Futuristic Trends in Research and Innovation for Social Welfare . 2016

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Qualitative data analysis using regression method for agricultural data

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