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基于Android系统手机的甜玉米病虫害智能诊断系统
引用本文:杨林楠,郜鲁涛,林尔升,彭 琳,李文峰.基于Android系统手机的甜玉米病虫害智能诊断系统[J].农业工程学报,2012,28(18):163-168.
作者姓名:杨林楠  郜鲁涛  林尔升  彭 琳  李文峰
作者单位:1. 云南农业大学基础与信息工程学院,昆明650201;云南省高校农业信息技术重点实验室,昆明650201
2. 云南省高校农业信息技术重点实验室,昆明,650201
3. 云南农业大学基础与信息工程学院,昆明,650201
基金项目:农业科技成果转化资金项目(2011GB2F300013);云南省自然基金(2008ZC050M)
摘    要:为农业智能诊断系统更加廉价、便捷、有效地为普通农户服务,该文针对Android手机终端,提出了一种基于Android手机的农业病虫害智能诊断系统的设计方法,构建了一个通用的、便于"二次开发"且人机交互技术丰富的数据库和应用程序的开发环境,并采用"产生式"规则和正向推理方法,设计了甜玉米病虫害的树型图和推理机等,重点研究和开发了"基于Android手机的甜玉米病虫害智能诊断系统",该系统的开发方法具有一定的通用性。测试和初步应用的效果显示,该系统具有便携、实用、界面友好和不受有线网络环境限制等特点,有较强的实用性和推广应用前景。

关 键 词:病害  智能系统  诊断  手机  虫害  甜玉米  Android系统
收稿时间:2011/11/1 0:00:00
修稿时间:2012/7/19 0:00:00

Intelligent diagnose system of diseases and insect pests in sweet corn based on mobile terminal with Android system
Yang Linnan,Gao Lutao,Lin Ersheng,Peng Lin and Li Wenfeng.Intelligent diagnose system of diseases and insect pests in sweet corn based on mobile terminal with Android system[J].Transactions of the Chinese Society of Agricultural Engineering,2012,28(18):163-168.
Authors:Yang Linnan  Gao Lutao  Lin Ersheng  Peng Lin and Li Wenfeng
Institution:1,2(1.College of Basic Science and Information Engineering,Yunnan Agricultural University,Kunming 650201,China 2.University Key laboratory of Agricultural Information Technology in Yunnan,Kunming 650201,China)
Abstract:To provide cheap, convenient and effective general peasants services of agricultural intelligent diagnosis system, a new design approach of intelligent system was proposed in this paper based on Android mobile terminal for diagnosing the agricultural pest insects and disease. A universal database and programming environment which was easy to do secondary development and rich in human-computer interaction technologies was constructed. Production-rules and forward reasoning method were applied to figure out the tree diagrams and inference engine for sweet corn pest insects and diseases. The research of system developing was focused on based on Android mobile terminal to realize the intelligent diagnosing on sweet corn pest insects and diseases. The developing approach of this new system was general-purposed. The test and application results of this system showed that this system was benefit for the agricultural production in practice with excellent features as portable, friendly interface and unlimited with networks.
Keywords:diseases  intelligent systems  diagnosis  mobile phones  insects pest  Android system
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