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| 苹果病害智能诊断方法研究与设计 | |
| 引用本文： | 刘晴蕊,何东健,张宏鸣,朱珊娜,郭云忠. 苹果病害智能诊断方法研究与设计[J]. 农机化研究, 2011, 33(4) |
| 作者姓名： | 刘晴蕊 何东健 张宏鸣 朱珊娜 郭云忠 |
| 作者单位： | 1. 西北农林科技大学,机械与电子工程学院,陕西杨凌712100;西北农林科技大学,信息工程学院,陕西杨凌712100 2. 西北农林科技大学,机械与电子工程学院,陕西杨凌712100 3. 西北农林科技大学,信息工程学院,陕西杨凌712100 |
| 摘 要： | 针对传统苹果专家病害诊断系统自学习能力差、准确率低的不足,研究并设计了人工神经网络的苹果病害诊断方法.采用动态编码对苹果病害模糊知识进行量化,构建BP网络诊断模型进行诊断;采用Java语言开发基于Web的病害动态诊断平台,用白水苹果病害样本进行了实验.该方法对20种苹果病害的诊断具有较好的效果,测试准确率达到85.4%.在获得必要领域知识的前提下,用神经网络进行苹果病害诊断准确率高,系统设计灵活,基于Web的诊断平台便于推广和使用. |
| 关 键 词： | 苹果 病害诊断 人工神经网络 专家系统 |
Research and Design in Apple Intelligent Diagnosis System |
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| Liu Qingrui,He Dongjian,Zhang Hongming,Zhu Shanna,Guo Yunzhong. Research and Design in Apple Intelligent Diagnosis System[J]. Journal of Agricultural Mechanization Research, 2011, 33(4) | |
| Authors: | Liu Qingrui He Dongjian Zhang Hongming Zhu Shanna Guo Yunzhong |
| Affiliation: | Liu Qingrui a,b,He Dongjian a,Zhang Hongming b,Zhu Shanna b,Guo Yunzhong c(Northwest A & F University a.College of Mechanical and Electronic Engineering,b.College of Information Engineering,c.College of Plant Protection,Yangling 712100,China) |
| Abstract: | Aimed at the weak self-learning ability of traditional apple expert system,research and design an apple intelligent diagnosis system based on BP Artificial Neural Network(ANN).Constructed BP network diagnosis model with dynamic coding method to quantize.Developed a dynamic diagnosis platform for apple diseases based on Baishui Apple.There is a perfect effect on 20 kinds of apples,diagnosis accuracy rating reached 85.4%.The analyses of the diagnosis results of typical examples indicate that this system has s... |
| Keywords: | apple diseases diagnosis artificial neural network expert system |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |