棉花病虫草害调查诊断与决策支持系统开发与实现

Development and implementation of an intelligent decision support system for diagnosis and management of cotton pests

鉴于棉花病虫草害总体重发、发生规律复杂化的形势,以及基层植保技术人员不足、田间诊断识别问题突出的现状,本研究设计开发了基于Android系统(客户端)和Windows系统(服务器端)的棉花病虫草害调查诊断与决策支持系统。本系统构建了内容丰富的知识库,包括棉花病害(21种)、害虫(37种)和杂草(58种)3个主要子库,以及棉花主要害虫(6种)卵巢发育级别、棉花次要害虫(20种)图示、棉花害虫(52种)标本照和棉田天敌昆虫(13种)图示等4个子库。在此基础上,实现了面向所有APP用户的知识库浏览查询、智能诊断、专家会诊、信息上报等应用功能,以及针对管理员的通知下发、用户设置等后台管理功能。该系统可为棉花植保基础知识的普及提供重要依据和有效途径。

As cotton pests occurred seriously and complicatedly in recent years in China, an intelligent decision support system for diagnosis and management of cotton pests was developed to solve the practice problems, such as lack of professional staffs, or puzzles in pest symptom diagnose and species identification. On basis of Android platform （client- side） and Windows platform （server-side）, the system was built an inclusive knowledge base, including 3 main sub-bases of cotton diseases （21 species）, insect pests （37 species）, weed （58 species）, and 4 photo sub-bases of ovarian stages classification of key insect pests （6 species）, subordinate insect pests （20 species）, specimens of insect pests （52 species） and natural enemy insects （13 species）. The system could help all APP users browse and inquire knowledge base, carry out intelligent diagnose, take part in expert consultation and information report, and provide bake-stage management such as notice issue and user setting for administrators in further. So, this system could be an important basis and realization approach for popularization of cotton protection.