Plant Health—Detecting Leaf Diseases: A Systematic Review of the Literature
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50300-9_12
Reference16 articles.
1. Abbas, A., Jain, S., Gour, M., & Vankudothu, S. (2021). Tomato plant disease detection using transfer learning with C-GAN synthetic images. Computers and Electronics in Agriculture, 187.
2. Ashwinkumar, S., Rajagopal, S., Manimaran, V., & Jegajothi, B. Automated plant leaf disease detection and classification using optimal MobileNet based convolutional neural networks. Materials Today: Proceedings, 51.
3. Bedi, P., & Gole, P. (2021). Plant disease detection using hybrid model based on convolutional autoencoder and convolutional neural network. Artificial Intelligence in Agriculture, 5.
4. Sravan, V., Swaraj, K., Meenakshi, K., & Kora, P. (2021). A deep learning based crop disease classification using transfer learning. Materials Today: Proceedings.
5. Chen, J., Yin, H., & Zhang, D. (2020). A self-adaptive classification method for plant disease detection using GMDH-logistic model. Sustainable Computing: Informatics and Systems, 28, 100415. https://doi.org/10.1016/j.suscom.2020.100415
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