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Detection of plant diseases in the images using Deep Neural Networks
- Gul, M.U.;
- Rho, S.;
- Paul, A.;
- Seo, S.
Citations
SCOPUS
4초록
Agriculture suffers from crop diseases, and losses yield every year. Early detection of crop diseases can effectively decrease the loss. Leaves from crops are affected by the disease and can help farmers to detect any changes. Our study uses crops labelled dataset to train the Faster-RCNN model to identify if leaves are affected by any means. Our study shows more than 97% accuracy to detect disease in early stages that framers were unable to do in the past. © 2020 IEEE.
키워드
Deep Neural Networks; Plants; Agricultural robots; Crops; Intelligent computing; Neural networks; Plants (botany); Crop disease; Plant disease; Deep neural networks
- 제목
- Detection of plant diseases in the images using Deep Neural Networks
- 저자
- Gul, M.U.; Rho, S.; Paul, A.; Seo, S.
- 발행일
- 2020
- 유형
- Conference Paper
- 저널명
- Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020
- 페이지
- 738 ~ 739
- 언어
- ENG
- 출판사
- Institute of Electrical and Electronics Engineers Inc.
- 분량
- 2 페이지
- ISSN
- P 0000-0000