Crop monitoring system using image processing and environmental data
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
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BRAC University
2019
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| Rochtain ar líne: | http://hdl.handle.net/10361/11296 |
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10361-112962022-01-26T10:10:36Z Crop monitoring system using image processing and environmental data Rabbi, Shadman Shabik, Ahnaf Alam, Md. Ashraful Department of Computer Science and Engineering, BRAC University SVM Crop monitoring Image processing Environmental data Image processing--Digital techniques. This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. Includes bibliographical references (pages 40-42). Cataloged from PDF version of thesis. We propose advanced crop monitoring system using image processing from environmental data for faster and better yield of agriculture. In the system, we have used colour segmentation and binary masking to analyse and differentiate between various stages of crop plantation (unripe, ripe and diseased) via aerial images. To further improve accuracy, we have used different sensors to detect important factors like the temperature and moisture of the air and soil. This is going to project precise areas of the affected regions and can be taken care of immediately after detection. Furthermore, using Support Vector Machine (SVM), we have been able to classify different types of leaf diseases up to 98% accuracy. We have also used other algorithms, like K-mean cluster and L*a*b* colour space, to detect the diseased part of the leaves. This will ensure the farmers to provide the right type of treatment for the plants. We have taken this initiative in the perspective of Bangladesh where a huge amount of population requires huge amount of food supplement and hence we need a faster and safer monitoring system to meet the agricultural needs of the nation. Shadman Rabbi Ahnaf Shabik B. Computer Science and Engineering 2019-01-24T10:40:33Z 2019-01-24T10:40:33Z 2018 2018 Thesis ID 18341015 ID 13201013 http://hdl.handle.net/10361/11296 en BRAC University theses 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. 42 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
SVM Crop monitoring Image processing Environmental data Image processing--Digital techniques. |
| spellingShingle |
SVM Crop monitoring Image processing Environmental data Image processing--Digital techniques. Rabbi, Shadman Shabik, Ahnaf Crop monitoring system using image processing and environmental data |
| description |
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. |
| author2 |
Alam, Md. Ashraful |
| author_facet |
Alam, Md. Ashraful Rabbi, Shadman Shabik, Ahnaf |
| format |
Thesis |
| author |
Rabbi, Shadman Shabik, Ahnaf |
| author_sort |
Rabbi, Shadman |
| title |
Crop monitoring system using image processing and environmental data |
| title_short |
Crop monitoring system using image processing and environmental data |
| title_full |
Crop monitoring system using image processing and environmental data |
| title_fullStr |
Crop monitoring system using image processing and environmental data |
| title_full_unstemmed |
Crop monitoring system using image processing and environmental data |
| title_sort |
crop monitoring system using image processing and environmental data |
| publisher |
BRAC University |
| publishDate |
2019 |
| url |
http://hdl.handle.net/10361/11296 |
| work_keys_str_mv |
AT rabbishadman cropmonitoringsystemusingimageprocessingandenvironmentaldata AT shabikahnaf cropmonitoringsystemusingimageprocessingandenvironmentaldata |
| _version_ |
1814307864305467392 |