摘要
利用神经网络的基本原理 ,结合气象因子以及安徽省滁州市田间稻白叶枯病流行程度的实测数据 ,建立了该地区的神经网络中期预警系统。经实例验证 ,该方法的预测精度达 80 % 。
Using the data of historical occurrence level of Bacterial leaf blight of rice in Chuzhou city,Anhui province and rain capacity, rain day, sunshine hour in the period from June to July, the mid term predictive warning system of artificial neural network was established according to the principle of artificial neural network.It could be seen from the example that its prediction accuracy was 80%,indicating that it offers a new support to predictability of mid term in plant diseases.
出处
《安徽农业大学学报》
CAS
CSCD
北大核心
2002年第1期12-15,共4页
Journal of Anhui Agricultural University
关键词
预警系统
神经网络
预测模型
稻白叶枯病
中期预警
predictive warning system
artificial neural network
prediction model
bacterial leaf blight of rice