CROP YIELD PREDICTION AND SOIL DATA ANALYSIS USING DATA MINING TECHNIQUES IN KRISHNAGIRI DISTRICT
DOI:
https://doi.org/10.26438/ijcse/v6si8.4955Keywords:
Crop Yield, Soil Data, Agricultural Yield Prediction, K-Means, Support Vector Machine (SVM), Multiple Linear Regression (MLR)Abstract
The objective of this work is to explore the soil data analysis for crop yield prediction in KrishnagiriDistrict by comparing various data mining techniques which gives the maximum accuracy. Analyzing soil provides major contribution to support the farmers [2]. In this paper one of major parameter which is used to increase crop production is considered – soil, and also explores various proposed algorithms for analyzing soil using data mining techniques and different data mining algorithms are applied to soil data set to predict its soil fertility
References
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