Artificial neural network applied to agriculture

Abstract

Bioinformatics techniques have emerged as a powerful tool to studies in various areas of Agriculture. Data sets derived from agricultural experiments can be analyzed using specific bioinformatics techniques, including artificial neural networks. This paper aims to present the application of a bioinformatics technique named artificial neural network, on research carried in Agriculture.

Keywords

• Bioinformatics. Computational models. Agricultural experiments.