| 摘要: |
| 以Delphi 3.0为开发工具，建立了植物病虫害BP神经网络预测系统，阐述了BP神经网络的基本原理和预测系统的制作过程，并以陕西汉中地区小麦条锈病流行程度的预测为例说明了其应用。结果表明，该系统的预测结果与实际发生程度高度吻合。 |
| 关键词: BP神经网络 预测系统 小麦条锈病 |
| DOI： |
| 分类号: |
| 基金项目:国家自然科学基金资助项目（39770486） |
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| Development and application of the BP neural network rediction system on plant diseases and pests |
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| Abstract: |
| A BP neural network prediction system concerning plantdiseasesand pests was developed on Delphi 3.0.The paper discribed the basic principle of BP neural network and the developing process of the prediction system.The prediction system was used to predict the severity of wheat stripe rust in Hanzhong,Shaanxi province.Results showed that the accurate ratio of prediction was satisfied. |
| Key words: BP neural network prediction system wheat stripe rust |
