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The Tobacco Plant Diseases And Insect Pests Image Intelligent Recognition System Based On Android Mobile Terminal

Posted on:2016-03-05Degree:MasterType:Thesis
Country:ChinaCandidate:Z L WuFull Text:PDF
GTID:2308330479479075Subject:Agricultural informatization
Abstract/Summary:PDF Full Text Request
Tobacco is an important economic crop in agriculture in our country. In 2013, the production of tobacco in Yunnan Province accounted for 31.89% of the total production in China. It can be seen that in Yunnan province tobacco production can produce a very big impact to our country tobacco supply. The prevention and control of tobacco plant diseases and insect pests is one of the most important factors of affecting the output of tobacco. Therefore, the prevention, diagnosis and treatment technology of tobacco plant diseases and insect pests are particularly important in Yunnan.In this paper, in line with the raise the level of tobacco pests and diseases diagnosis. First of all, the paper has studied and summarized the development situation of domestic and external in agricultural pest image recognition. Then the paper has established a tobacco plant disease image intelligent identification system based on the Android mobile terminal, which uses C/S architecture, including mobile client and the server.Mobile client: first of all, after entering the client to add crop disease spot image, which can be added from the phone album or take a picture using the phone camera. Secondly, after adding photos and submitting, the mobile phone will process the image with image preprocessing, image segmentation and feature extraction. Then, mobile terminal will process the obtained eigenvalue via TCP/IP communication protocol and send it to server-side. Finally, the mobile client will receive the results returned by the server.Server: firstly, the server system has being in monitoring the state of the message is received or not. Once the server receives the eigenvalues from the mobile phone, the server will automatically call image similarity algorithm by the feature value and then search retrieval lesion characteristics database. Finally, the retrieval result will be returned to the mobile client.PC Client: plant diseases and insect pests diagnosis personnel can be extracted in the PC client tobacco plant diseases and insect pests image characteristics, and the extracted image features stored in the tobacco plant diseases and insect pests image database.The characteristics of this system: first, the farmers can add crop disease spot image, which can be added from the phone album or take a picture using the phone camera. Second, the Android client can process the image with image segmentation and feature extraction; Third, the paper implements the communication between Android client and server, the identification of diseases with network and the diagnostic method.
Keywords/Search Tags:Image recognition, The tobacco plant diseases and insect pests, Android, Image segmentation, Image feature extraction
PDF Full Text Request
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