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Indian Crop Yield Prediction using Regression Models

Pushpa T, Akash Battu Basagond, Bhavana S, Dashami B T, Nafila Haris C P

Abstract


Agriculture is the backbone of our nation. Unfortunately, there are very draconian conditions for Indian farmers to manage. We predict the crop to be grown in accordance with the regions in which farmers grow. We mainly make use of straightforward parameters like State,  district, season, area and therefore, the user can predict the yield of the crop in the year of his or her choice. By using advanced regression techniques to predict performance  and uses the concept of stacking regression to improve the algorithms to give better predictive results.


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