Qualitative data analysis using regression method for agricultural data
Pallavi V. Jirapure, Prarthana A. Deshkar · 2016
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.