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Review on Use of BAGGING Technique in Agriculture Crop Yield Prediction

Author(s):

Dipika H Zala , Government engineering college,Gandhinagar; M. B. Chaudhri, Government engineering college,Gandhinagar

Keywords:

Data Mining, Crop Yield Prediction, Bootstrap Aggregating Technique

Abstract

In the countries like India, Agriculture is a most important contributor for economy. In now days, there are irregular environmental parameter affects badly to the yield of crop in agriculture due to harmful pollution. So, it cannot be predicted easily that which crop should be taken on which environmental parameter. Problem can be resolved by taking past year data analysis and making decision according to that. Research done here is for yield prediction of groundnut, is by studying past data set and analyzing that data. And so that DATA MIINING concept comes to resolve this problem. After studying various technique and reading previous research on agriculture yield prediction using different data mining technique, our research uses data mining BAGGING TECHNIQUE for yield prediction of groundnut. Dataset used in research area has parameters like Minimum Temperature, Average Temperature, Maximum Temperature, Area, production, evapotranspiration. The main goal of this research is for getting better efficiency of crop prediction using "BAGGING" technique.

Other Details

Paper ID: IJSRDV6I80349
Published in: Volume : 6, Issue : 8
Publication Date: 01/11/2018
Page(s): 675-677

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