A Neural Network Model for Predicting Cotton Yields
Predicting a realistic target yield is one of the critical problems in precision farming. An artificial neural network was employed to model the nonlinear relationship between cotton yield and the factors influencing yield. Using sixyear field data obtained from LuoYang Dry Land Research Center, the neural network model was developed and trained, and the RMSE for test data was 3.70%. The results indicate that the neural network model is a superior methodology for accurately setting cotton yields.
Keywordsartificial neural network precision farming cotton yield
- Liu J., Tian L. A neural network for setting target corn yields. Transactions of the American Society of Agricultural Engineers, 2001, 44: 705-713Google Scholar