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Pest Image Forecasting System Based On Raspberry Pi

Posted on:2019-02-18Degree:MasterType:Thesis
Country:ChinaCandidate:C Y ZhouFull Text:PDF
GTID:2348330542472634Subject:Master of Engineering
Abstract/Summary:PDF Full Text Request
As a big country in agriculture,the amount of crop losses caused by agricultural pests is very huge every year,and the prevention of pests is the prerequisite of ensuring grain production.Using manual or infrared way for counting pests in the traditional pest monitoring work,but staff going to down the field to count pests is not only high labor intensity,and the counting error rate is high,and the poor real-time capability,the infrared counting has a blind area because of the infrared sensor,and the small pest is prone to leak detection.In this thesis,we have studied the pest image forecasting system based on Raspberry Pi,The system consists of two parts: data acquisition and processing terminal(terminal for short),and cloud platform.The system can be used to collect environmental data,collect pest images,count the number of pests,view and export the data.The contents and achievements of this study are as follows:(1)The terminal is composed of Raspberry Pi,temperature and humidity sensor,light intensity detection module,rain detection module,wireless network adapter,and camera.The terminal is responsible for collecting environmental data,driving the camera to take pictures of pests,and calculating the number of pests in pest pictures by digital image processing technology and computer vision library OpenCV.(2)Cloud platform is composed of cloud server CVM,cloud database CDB and cloud object storage COS,which all produced by Tencent,using the program,data,pictures of the three separated model.The cloud server is responsible for running the program which cloud platform and terminal communication,web site backstage service program,backstage service program of WeChat Official Accounts;the selection of the relational database MySQL for cloud database,which is responsible for storing pests and environmental data;cloud object storage is responsible for storing the pest images.(3)Terminal and cloud platform build network connection through TCP protocol,using the open source network communication framework Netty to develop program which the terminal and cloud platform data interaction.The terminal uploads environmental data,pest pictures,and pest numbers to the cloud platform,cloud platform can receive and store data,and you can sendcommands,such as taking pictures,to the terminal.You can view the data and pictures that terminal uploads by logining the Web page,remotely operate terminal to take pictures and upgrade terminal program,and historical data can be exported to Excel documents to the local to avoid organizing tediously the data by hand.Developing the WeChat Official Accounts for the data query on the mobile terminal,by focusing on this WeChat Official Accounts,sending the number "1" and "2",you can query separately the intraday data and the data for the last three days.
Keywords/Search Tags:Pest Forecasting, Raspberry Pi, Image Processing, Cloud Platform
PDF Full Text Request
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