Automated system for detecting jute plant disease using image processing and machine learning integrated with mobile application
Cataloged from PDF version of thesis report.
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| Định dạng: | Luận văn |
| Ngôn ngữ: | English |
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BRAC University
2016
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| Những chủ đề: | |
| Truy cập trực tuyến: | http://hdl.handle.net/10361/5303 |
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10361-5303 |
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10361-53032022-01-26T10:23:20Z Automated system for detecting jute plant disease using image processing and machine learning integrated with mobile application Joyee, Faiza Nuzhat Mahsa, Nuzhat Ashraf Reza, Zarreen Naowal Ali, Md. Haidar Department of Computer Science and Engineering, BRAC University CSE Computer science and engineering Jute plant disease Texture analysis Hue based segmentation SVM classifier Cataloged from PDF version of thesis report. Includes bibliographical references (page 47). This thesis report is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2016. In our research, we have implemented an automated system for disease detection of jute plants using image analysis and machine learning. We have also integrated this system with a mobile application for Android phones to serve the farmers where they get benefitted by identifying the diseases correctly and taking measures accordingly. At first, an image of the defected jute plant has been taken with the camera of the mobile phone. The farmers then just have to send the image to our server by selecting the options provided on the application. The image has been analyzed in the server where the plant’s affected parts will be segmented using hue-based segmentation method, features for the texture analysis has been extracted using color co-occurrence methodology and comparing with our pre-defined database the disease is identified and classified using SVM classifier. At the final step, the classification result along with the necessary control measurement has been sent back to the user through the application on the phone. Faiza Nuzhat Joyee Nuzhat Ashraf Mahsa Zarreen Naowal Reza B. Computer Science and Engineering 2016-05-22T10:46:44Z 2016-05-22T10:46:44Z 2016 4/21/2016 Thesis ID 10101006 ID 12101009 ID 12101072 http://hdl.handle.net/10361/5303 en BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 47 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
CSE Computer science and engineering Jute plant disease Texture analysis Hue based segmentation SVM classifier |
| spellingShingle |
CSE Computer science and engineering Jute plant disease Texture analysis Hue based segmentation SVM classifier Joyee, Faiza Nuzhat Mahsa, Nuzhat Ashraf Reza, Zarreen Naowal Automated system for detecting jute plant disease using image processing and machine learning integrated with mobile application |
| description |
Cataloged from PDF version of thesis report. |
| author2 |
Ali, Md. Haidar |
| author_facet |
Ali, Md. Haidar Joyee, Faiza Nuzhat Mahsa, Nuzhat Ashraf Reza, Zarreen Naowal |
| format |
Thesis |
| author |
Joyee, Faiza Nuzhat Mahsa, Nuzhat Ashraf Reza, Zarreen Naowal |
| author_sort |
Joyee, Faiza Nuzhat |
| title |
Automated system for detecting jute plant disease using image processing and machine learning integrated with mobile application |
| title_short |
Automated system for detecting jute plant disease using image processing and machine learning integrated with mobile application |
| title_full |
Automated system for detecting jute plant disease using image processing and machine learning integrated with mobile application |
| title_fullStr |
Automated system for detecting jute plant disease using image processing and machine learning integrated with mobile application |
| title_full_unstemmed |
Automated system for detecting jute plant disease using image processing and machine learning integrated with mobile application |
| title_sort |
automated system for detecting jute plant disease using image processing and machine learning integrated with mobile application |
| publisher |
BRAC University |
| publishDate |
2016 |
| url |
http://hdl.handle.net/10361/5303 |
| work_keys_str_mv |
AT joyeefaizanuzhat automatedsystemfordetectingjuteplantdiseaseusingimageprocessingandmachinelearningintegratedwithmobileapplication AT mahsanuzhatashraf automatedsystemfordetectingjuteplantdiseaseusingimageprocessingandmachinelearningintegratedwithmobileapplication AT rezazarreennaowal automatedsystemfordetectingjuteplantdiseaseusingimageprocessingandmachinelearningintegratedwithmobileapplication |
| _version_ |
1814309885339238400 |