Bayesian network and its application in maize diseases diagnosis

Abstract

Bayesian network is a powerful tool to represent and deal with uncertain knowledge. This paper mainly introduces some technologies and methods of modeling Bayesian network, which are used in the building Maize Diseases Diagnosis system. In the construction of Bayesian network, noisy-or model and transformation from certainty factor to probability are used. Then maize disease diagnosis system based on BN is built by Netica (a BN software package). The practice proves that BN is an effective tool for maize disease diagnosis. © 2008 International Federation for Information Processing.