Progressive loss-aware fine-tuning stepwise learning with GAN augmentation for rice plant disease detection-Reference-Cited by-同舟云学术

Progressive loss-aware fine-tuning stepwise learning with GAN augmentation for rice plant disease detection

Published:2024-04-24 Issue: Volume: Page:
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Upreti Kamal^ORCID,Singh Prashant,Jain Dhyanendra,Pandey Amit Kumar,Gupta Anjani,Singh Hare Ram,Srivastava Santosh Kumar,Prasad Jay Shankar

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-024-19255-z.pdf

Reference34 articles.

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3. Oerke EC, Dehne HW (2004) Safeguarding production—losses in major crops and the role of crop protection. Crop Prot 23:275–285. https://doi.org/10.1016/J.CROPRO.2003.10.001

4. DeChant C, Wiesner-Hanks T, Chen S et al (2017) Automated identification of northern leaf blight-infected maize plants from field imagery using deep learning. Phytopathology 107:1426–1432. https://doi.org/10.1094/PHYTO-11-16-0417-R

5. Picon A, Alvarez-Gila A, Seitz M et al (2019) Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild. Comput Electron Agric 161:280–290. https://doi.org/10.1016/J.COMPAG.2018.04.002

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