摘要
我国种植葡萄已经有两千多年的历史,葡萄病害严重影响了葡萄产品的产量和质量,葡萄病害的诊断对我国葡萄产业的发展具有重大意义。通过对葡萄病害知识和专家经验的研究,并将神经网络技术与计算机技术相结合,采用改进的BP算法,建立了BP神经网络诊断模型。以葡萄的发病部位、病斑形状、病斑颜色和主要症状为诊断参数输入,以病害名为输出,以诊断依据为训练样本。实验结果表明,该网络能够获得满意的诊断结果。采用MVC设计模式,利用JSP、Javabean、JDBC等技术,开发了基于WEB的葡萄病害诊断系统,实现了在线葡萄病害诊断的过程。
Since two thousands ago, grape has been grown in China. Grape vine disease has seriously affected the product yield and quality. Diagnosis of grape disease is of great significance to the development of China＇s grape production. In this paper, based on the grape diseases knowledge and expert experience, combining neural network technology and computer technology, using the improved BP algorithm, a BP neural network diagnosis model was established, with the onset location, lesion shape, spot color and main symptoms as the diagnostic input parameters and the disease name as the output parameters, and the diagnostic basis as the training samples. The experimental results showed that, the network could obtain satisfactory diagnosis results. By using the MVC design pattern, JSP, Javabean, JDBC technology, the system of grape disease diagnosis was developed based on WEB to realize the online grape disease diagnosis.
出处
《农业网络信息》
2013年第8期30-33,共4页
Agriculture Network Information
