ABSTRACT
Artificial neural networks are much easier to set-up than many of the statistical models, such as regression (with only a small amount of time an ANN can be set-up; with learning and practice they can provide better results, since it is more of an art to setting one up, than a science). Most of the research on the application of ANN in agriculture science has been done in the last decade, mainly in the area of yield prediction, spatial modeling, and spatial-temporal forecasting. This chapter will introduce the basic concepts about neural network. Also the work done on the application of ANN in agriculture research will be reviewed. The application of ANN in agriculture research using real data will be presented.
