A Novel Fuzzy-Based Modified GAN and Faster RCNN for Classification of Banana Leaf Disease
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Agricultural and Biological Sciences (miscellaneous),Building and Construction,Civil and Structural Engineering,Architecture
Link
https://link.springer.com/content/pdf/10.1007/s40030-023-00743-8.pdf
Reference19 articles.
1. M.G. Selvaraj, A. Vergara, H. Ruiz, N. Safari, S. Elayabalan, S. Ocimati, G. Blomme, AI-powered banana diseases and pest detection. Plant Methods 15(1), 1–11 (2019)
2. J. Sun, J. Zhang, H. Fang, L. Peng, S. Wei, C. Li, S. Zheng, J. Lu, Comparative transcriptome analysis reveals resistance-related genes and pathways in Musa acuminata banana’Guijiao 9’in response to Fusarium wilt. Plant Physiol. Biochem. 141, 83–94 (2019)
3. S. Deenan, S. Janakiraman, S. Nagachandrabose, Image segmentation algorithms for Banana leaf disease diagnosis. J. Inst. Eng. India Ser. C 101(5), 807–820 (2020)
4. R. Thangavelu, D. Mostert, M. Gopi, P.G. Devi, B. Padmanaban, A.B. Molina, A. Viljoen, First detection of Fusarium oxysporum f. sp. cubense tropical race 4 (TR4) on Cavendish banana in India. Eur. J. Plant Pathol. 154(3), 777–786 (2019)
5. J. Huang, Y. Pang, F. Zhang, Q. Huang, M. Zhang, S. Tang, H. Fu, H. Li, Suppression of Fusarium wilt of banana by combining acid soil ameliorant with biofertilizer made from Bacillus velezensis H-6. Eur. J. Plant Pathol. 154(3), 585–596 (2019)
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