An Efficient Machine Learning Technique for Crop Yield Prediction

The field of agricultural research is flourishing, and the difficulties that lie ahead are being overcome with the aid of technological development. It has been determined that this is very helpful for the economic development and progress of any country. Agricultural growth to be improves by incorporating technology. In order to make strategic plans in agricultural commodities for import-export policies and to enhance farmer earnings, an early and accurate assessment of crop achievement is important in quantitative and financial evaluation at the field level. One of the tough problems in agriculture is predicting crop yields with the use of machine learning algorithms in order to forecast a larger crop output. Using this work, provide a powerful approach of machine-learning to forecast agricultural yields. By using machine learning technique can be helpful for predicting the crop yield. An experimental analysis shows that using machine learning technique crop yield productivity can be enhance.