期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：5
页码：9517
DOI：10.15680/IJIRCCE.2017.0505045
出版社：S&S Publications
摘要：Data Mining is an emerging research field in agriculture specially crop yield analysis and yieldprediction. Agriculture plays a significant role in each country; as well important sector of Indian economy as itcontributes about 17% to the total GDP (gross domestic production) and provides employment to over 60% of thepopulation. Yield prediction is a very important agricultural problem that remains to be solved based on the availabledata. Data mining techniques are used to improvise the crop yield, where huge amount of past history of agriculturaldata is collected from different agricultural sectors and various techniques of data mining employed on the dataset.Mining the important patterns from historical data and using those patterns to predict future crop production. In thispaper the data mining techniques such as Chameleon clustering, Random forest, Regression types are discussed forcrop yield prediction. Here we have focused on the analysis of rice yield production, how different parametersinfluence the production and finding optimal parameters required to maximize the production through data miningtechniques.
关键词：Chameleon; Random Forest; Regression; Big Data
