A model is developed for the classified prediction of agricultural plant diseases and insect pests using B P artificial neural network with factors related to agricultural plant diseases and insect pests as input features of sample.The results of prediction to rice blast show that the qualified retes of fitting and predicting using this model acquire 100% and 33.3%,respectively.