Tomato Leaf Classification Using Computer Vision and Deep Learning: Comparing Different EfficientNets
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Published:2024-01-05
Issue:1
Volume:4
Page:61-79
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ISSN:2789-2557
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Container-title:International Journal of Artificial Intelligence and Machine Learning
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language:
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Short-container-title:IJAIML
Reference48 articles.
1. Abbas, A., Jain, S., Gour, M. and Vankudothu, S. (2021). Tomato Plant Disease Detection Using Transfer Learning With C-GAN Synthetic Images. Computers and Electronics in Agriculture, 187(106279), 106279. https://doi.org/10.1016/j.compag.2021.106279 2. Deep learning Based on NASNet for Plant Disease Recognition using Leave Images;Adedoja;2019 International Conference on Advances in Big Data Computing and Data Communication Systems (IcABCD),2019 3. Ahmed, S., Hasan, M.B., Ahmed, T., Sony, M.R.K. and Kabir, M.H. (2022). Less is More: Lighter and Faster Deep Neural Architecture for Tomato Leaf Disease Classification. IEEE Access: Practical Innovations, Open Solutions, 10, 68868-68884. https://doi.org/10.1109/access.2022.3187203 4. Al-gaashani, M.S.A.M., Shang, F., Muthanna, M.S.A., Khayyat, M. and Abd El-Latif, A.A. (2022). Tomato Leaf Disease Classification by Exploiting Transfer Learning and Feature Concatenation. IET Image Processing, 16(3), 913-925. https://doi.org/10.1049/ipr2.12397 5. Altunta, Y. and Kocamaz, F. (2021). Deep Feature Extraction for Detection of Tomato Plant Diseases and Pests Based on Leaf Images. Celal Bayar Üniversitesi Fen Bilimleri Dergisi, 17(2), 145-157. https://doi.org/10.18466/cbayarfbe.812375
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