These day's farmers are facing crop yield prediction problem which is an emerging problem in the society. This paper focus on the prominent wheat yield prediction using two Artificial Intelligence (AI) models and its comparative analysis for better prediction of crop yield. This paper compares the two different artificial intelligence models to predict the yield of wheat crop. Farmers are faced with many problems to estimate the yield of the crops. our project will help the crofters to predict the yield of wheat crop. The random forest algorithm gives 0.999 R2 score and the artificial neural network gives 11.1782 loss. The forecast performance of the random forest algorithm is better than the artificial neural network.
₹10000 (INR)
2021