摘要
[目的]为解决由于公众对于入侵昆虫知识了解甚少导致入侵昆虫未能得到及时有效的防治,进而导致入侵昆虫造成社会生产生活及对于生物多样性的危害,设计开发了一个针对入侵昆虫的识别的微信小程序。[方法]此小程序采用前后端开发分离的设计思路,前端框架采用微信原生的weui框架,后端基于SSM框架、MySQL数据库,GoogLeNet识别网络进行全栈开发。[结果]应用现有的开发框架,根据系统需求设计并实现了针对入侵昆虫的识别、信息报告上传、昆虫数据库查看等功能,满足用户对入侵昆虫的自助鉴别需求。[结论]该系统方便科研人员收集科研数据,帮助官方机构对入侵昆虫的定位管理,利于入侵昆虫学科知识的推广科普,为入侵昆虫防治打下良好基础。
[Objective]The public had little knowledge about invasive insects leads to the failure of timely and effective prevention and control of invasive insects.This problem led to the harm of invasive insects to social production and life and biodiversity.In order to solve this problem,we designed and developed an identification method for invasive insects WeChat applet.[Method]This small program adopted the design idea of separation of front-end and back-end development.The front-end framework adopted WeChat’s native weui framework,and the back-end was based on SSM framework,MySQL database,and GoogLeNet identification network for full-stack development.[Result]The existing development framework was used to design and realize the functions of identifying invading insects,uploading information reports and viewing insect database according to system requirements,so as to meet the needs of users for self-service identification of invading insects.[Conclusion]This system facilitated scientific research personnel to collect scientific research data,helped official institutions to locate and manage invasive insects,facilitated the popularization of invasive insect knowledge,and laid a good foundation for invasive insect control.
作者
黄亦其
沈豪
王福宽
钱万强
董双玉
乔曦
HUANG Yi-qi;SHEN Hao;WANG Fu-kuan(School of Mechanical Engineering,Guangxi University,Nanning,Guangxi 530004;Agricultural Genomics Institute at Shenzhen,Chinese Academy of Agricultural Sciences,Shenzhen,Guangdong 518120)
出处
《安徽农业科学》
CAS
2023年第1期222-230,共9页
Journal of Anhui Agricultural Sciences
基金
国家重点研发计划项目“外来病虫害高效检测关键技术与装备研发”(2021YFD1400100,2021YFD1400101,2021YFD-1400102)
深圳市孔雀团队项目(KQTD20180411143628-272)
2018年国家自然科学基金青年科学基金项目(31801804)
深圳市大鹏新区科技创新和产业发展专项资金资助项目(PT202001-06)。
关键词
识别
微信小程序
入侵昆虫
JAVA
深度学习
通信
Identification
WeChat applet
Invasive insects
Java
In-depth learning
Communication
