Identification and Classification of Diseases Based on Object Detection and Majority Voting of Bounding Boxes
Author:
Publisher
Engineering and Technology Publishing
Subject
Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Information Systems,Software
Link
https://www.jait.us/uploadfile/2023/JAIT-V14N6-1301.pdf
Reference31 articles.
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3. [3] M. Brahimi, M. Arsenovic, S. Laraba, S. Sladojevic, K. Boukhalfa, and A. Moussaoui, "Deep learning for plant diseases: Detection and saliency map visualisation," Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent, pp. 93117, 2018.
4. [4] H. J. Yu, C. H. Son, and D. Lee, "Apple leaf disease identification through region-of-interest-aware deep convolutional neural network," Journal of Imaging Science and Technology, vol. 64, 2020.
5. [5] R. Thapa, K. Zhang, N. Snavely, S. Belongie, and A. Khan, "The plant pathology challenge 2020 data set to classify foliar disease of apples," Appl Plant Sci, vol. 8, no. 9, e11390, Sep. 2020.
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