Neural network-based software for fertilizer optimization in precision farming

A novel technique for providing fertilizer recommendation in precision agriculture is proposed. The method is based on the maximization of the profit function approximated using a decision support system based on artificial neural networks. The software implementation of the proposed approach is described and its use is illustrated on simulated realistic data. Experimental results suggest that the proposed technique is applicable for site-specific crop management