APPLICATION OF ARTIFICIAL NEURAL NETWORKS IN AGRICULTURE FOR ENHANCED PRODUCTIVITY

The goal of this project is to build ANN models for several agricultural systems that would allow us to find practical solutions for better agri-business strategies and efficient product development at Fort Valley State University (FVSU).The specific objectives set-up to accomplish this goal are:Objective 1. Assess the suitability of ANN systems, such as prediction, classification, and Self Organizing Maps (SOM), for quantifying various parameters of interest.Objective 2. Develop non-linear feed-forward neural network (NLEF) models with better model performance (higher linear correlation), and generalization.Objective 3. Identify optimal ANN models through performance in statistical indices.