基于神经网络的稻白叶枯病中期预警

The Mid-term Predictive Warning of Neural Network for Bacterial Leaf Blight of Rice Diseases

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.