Open Access
Issue
BIO Web Conf.
Volume 97, 2024
Fifth International Scientific Conference of Alkafeel University (ISCKU 2024)
Article Number 00030
Number of page(s) 6
DOI https://doi.org/10.1051/bioconf/20249700030
Published online 05 April 2024
  • (SRI) [Google Scholar]
  • Mathulaprangsan, Seksan, et al. Rice diseases recognition using effective deep learning models. In: 2020 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON). IEEE, 2020. p. 386–389. [Google Scholar]
  • Agrawal, Mr Manoj; Agrawal, Shweta. Rice plant diseases detection & classification using deep learning models: a systematic review. J Crit Rev, 2020, 7.11: 4376–4390. [Google Scholar]
  • Deng, Ruoling, et al. Automatic diagnosis of rice diseases using deep learning. Frontiers in Plant Science, 2021, 12:701038. [CrossRef] [PubMed] [Google Scholar]
  • Bari, Bifta Sama, et al. A real-time approach of diagnosing rice leaf disease using deep learning-based faster R- CNN framework. PeerJ Computer Science, 2021, 7:e432. [CrossRef] [PubMed] [Google Scholar]
  • Hussein, Osama Alaa; Mahdi, Mohammed Salih. REVIEW ON DETECTION OF RICE PLANT LEAVES DISEASES USING DATA AUGMENTATION AND TRANSFER LEARNING TECHNIQUES. Iraqi Journal for Computers and Informatics, 2023, 49.1: 30–40. [CrossRef] [Google Scholar]
  • Naji, Ds Alwan M.H. RICE DISEASES DETECTION AND CLASSIFICATION USING YOU ONLY LOOK ONCE AND CONVOLUTIONAL NEURAL NETWORK. [Google Scholar]
  • Naji, Mohammed H., et al. Rice Diseases Classification by Residual Network 50 (RESNET50) and Support Vector Machine (SVM) Modeling. Journal of Kufa for Mathematics and Computer, 2023, 10.1: 96–101. [CrossRef] [Google Scholar]
  • Latif, G., et al. Deep Learning Utilization in Agriculture: Detection of Rice Plant Diseases Using an Improved CNN Model. Plants 2022, 11, 2230. [CrossRef] [PubMed] [Google Scholar]
  • Ahad, Md Taimur, et al. Comparison of CNN-based deep learning architectures for rice diseases classification. Artificial Intelligence in Agriculture, 2023, 9:22–35. [CrossRef] [Google Scholar]
  • Jiang, Feng, et al. Image recognition of four rice leaf diseases based on deep learning and support vector machine. Computers and Electronics in Agriculture, 2020, 179:105824. [CrossRef] [Google Scholar]
  • Lu, Yang, et al. Identification of rice diseases using deep convolutional neural networks. Neurocomputing, 2017, 267:378–384. [CrossRef] [Google Scholar]
  • Mathulaprangsan, Seksan, et al. Rice Disease Recognition Using Effective Deep Neural Networks. J. web Eng., 2021, 20.3: 853–878. [Google Scholar]
  • https://www.kaggle.com/datasets/vbookshelf/rice-leaf-diseases [Google Scholar]

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