棉花病虫草害调查诊断与决策支持系统开发与实现
发布时间：2019-03-17 17:17
【摘要】：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。
[Abstract]:In view of the general re-occurrence of cotton diseases, pests and weeds, the complication of occurrence regularity, and the shortage of basic level plant protection technicians, the current situation of field diagnosis and identification problems is prominent. Based on Android system (client side) and Windows system (server side), a cotton disease, pest and pest investigation diagnosis and decision support system was designed and developed in this paper. The system has constructed a rich knowledge base, including cotton diseases (21 species), pests (37 species) and weeds (58 species), as well as the ovary development level of the main cotton pests (6 species). Cotton secondary pests (20 species), cotton pests (52 species) and natural enemies (13 species) in cotton fields (13 species) and other 4 sub-databases. On this basis, the knowledge base browsing query, intelligent diagnosis, expert consultation, information reporting and other application functions for all APP users are realized, as well as the background management functions such as notification sending for administrators, user settings and so on. This system can provide important basis and effective way for the popularization of basic knowledge of cotton plant protection.
【作者单位】： 全国农业技术推广服务中心;植物病虫害生物学国家重点实验室/中国农业科学院植物保护研究所;北京天创金农科技有限公司;
【基金】：农业生态风险监测与控制技术课题(2016ZX08012-004)
【分类号】：S126;S435.62
本文编号：2442510
[Abstract]:In view of the general re-occurrence of cotton diseases, pests and weeds, the complication of occurrence regularity, and the shortage of basic level plant protection technicians, the current situation of field diagnosis and identification problems is prominent. Based on Android system (client side) and Windows system (server side), a cotton disease, pest and pest investigation diagnosis and decision support system was designed and developed in this paper. The system has constructed a rich knowledge base, including cotton diseases (21 species), pests (37 species) and weeds (58 species), as well as the ovary development level of the main cotton pests (6 species). Cotton secondary pests (20 species), cotton pests (52 species) and natural enemies (13 species) in cotton fields (13 species) and other 4 sub-databases. On this basis, the knowledge base browsing query, intelligent diagnosis, expert consultation, information reporting and other application functions for all APP users are realized, as well as the background management functions such as notification sending for administrators, user settings and so on. This system can provide important basis and effective way for the popularization of basic knowledge of cotton plant protection.
【作者单位】： 全国农业技术推广服务中心;植物病虫害生物学国家重点实验室/中国农业科学院植物保护研究所;北京天创金农科技有限公司;
【基金】：农业生态风险监测与控制技术课题(2016ZX08012-004)
【分类号】：S126;S435.62
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