Prediction of wheat yield for different districts of Chhattisgarh plain through statistical model

Abstract

The performance of regression of model was validated with actual yield of the year 2015 & 2016. At F1 (Initial stage) stage the error % of model varied from -0.2 to -19.4% for 2015 and 2.5 to 14.7% for 2016. Highest error was noticed for Rajnandgaon district -19.4% followed by Raipur -18.6% during 2015, while Korba district showed lower error percentage (0.2%) followed by Kanker (-1.6%). In 2016, Rajnandgaon district showed highest % of error -25.4% whereas Bilaspur showed lowest -1.7% of error with 90% accuracy. The percentage of error ranged from -2.4 to -20.6% during 2015 & -6% to -22.2% during 2016 at F2 (Mead season stage) stage. Korba district showed lowest -2.4% of error. While highest -20.6% of error was noticed for Kawardha district in 2015. During 2016, highest -26.5% of error was observed for Rajnandgaon and lower -6% error was for Raigarh district.