智慧农田害虫时空监测系统设计

Smart Field Pest Time and Space Monitoring System Design

传统农业虫害测报存在时间、人力成本高,准确度难以保证等问题,难以适应现代农业发展。本文在微小农业害虫自动监控装置的基础上,结合时空分析原理和卷积神经网络识别技术,提出智慧农田害虫时空监测系统方案。文章从前端、服务器端、数据库端三方面阐述设计思路。基于设计的系统,智能识别害虫种类、数目,在此基础上进行时空分析,预测可能发生虫害的地点、趋势,最终达到农田害虫时空监测的自动化和智能化的效果。

Traditional agricultural pest survey and report has many problems,such as time cost highly,needs many people and can not ensure accuracy,so it can’t suit the development of modern agriculture.Based on the automatic minor field pest device,this paper comes up with a smart field pest time-space monitor system combined with the principle of time space analysis and convolutional neural network.This paper elaborates the design ideas in three aspects:the front end,the server end,and the database end.Based on the designed system,smartly classify the pest species and get the amount of pests,time and space analyze and predict the possible area where pest disaster will occur.In the future,the system can enhance the ability of automatically and smartly monitor agricultural field pest.