摘要
选取与病虫害有关的因子作为样本的输入特征,建立了农业病虫害年分类预测的B-P人工神经网络模型。该方法应用于稻瘟病的预测建模结果的拟合率为100%,预留样本检验报准率为83%。
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.
出处
《生态学报》
CAS
CSCD
北大核心
1999年第5期759-762,共4页
Acta Ecologica Sinica
基金
:四川省应用科学研究基金
关键词
人工神经网络
B-P算法
病虫害
预测
artificial neural network
B P algorithm
diseases and insect pests
prediction
agriculture
