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基于神经网络的稻白叶枯病中期预警
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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际测数据,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%,为植物病害的中期可预测性提供了一种新的依据。
关键词:  预警系统 神经网络 预测模型 稻白叶枯病 中期预警
DOI:
修订日期:2001-07-03
基金项目:
The Mid-term Predictive Warning of Neural Network for Bacterial Leaf Blight of Rice Diseases
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Abstract:
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.
Key words:  predictive warning system,artificial neural network,prediction model,bacterial leaf blight of rice

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