Rahimov, N. and Dilmurod, K. (2015) The Application of Multiple Linear Regression Algorithm and Python for Crop Yield Prediction in Agriculture. Harvard Educational and Scientific Review, 2, 179-187.

The optimal feature set returned by different feature selection techniques is used for yield prediction using Linear regression, Random Forest, and Decision Tree Regressor. The accuracy of prediction ...

The ability to anticipate crop yield is essential for agricultural planning and decision-making. Crop output is significantly influenced by rainfall, a significant environmental component. In this ...

This paper proposed a soybean yield in-field prediction method based on bean pods and leaves image recognition using a deep learning algorithm combined with a generalized regression neural network ...

Hence, a new input feature was constructed using the observed trends that enabled the models to account for the increasing yield trend. yield_trend: this feature explained the observed trend in corn ...