Automatic Recognition of Plant Leaf Diseases Using Deep Learning (Multilayer CNN) and Image Processing
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Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-031-12413-6_11
Reference15 articles.
1. Tariqul Islam, M., Tusher, A.N.: Automatic detection of grape, potato and strawberry leaf diseases using CNN and ımage processing. In: Nanda, P., Verma, V.K., Srivastava, S., Gupta, R.K., Mazumdar, A.P. (eds.) Data Engineering for Smart Systems. Lecture Notes in Networks and Systems, vol. 238. Springer, Singapore (2022). https://doi.org/10.1007/978-981-16-2641-8_20J
2. Gaikwad, S.S.: Identification of fungi infected leaf diseases using deep learning techniques. Turk. J. Comput. Math. Educ. 12(6), 5618–5625 (2021)
3. Trang, K., TonThat, L., Gia Minh Thao, N. Tran Ta Thi, N.: Mango diseases ıdentification by a deep residual network with contrast enhancement and transfer learning. In: 2019 IEEE Conference on Sustainable Utilization and Development in Engineering and Technologies (CSUDET), pp. 138–142 (2019). https://doi.org/10.1109/CSUDET47057.2019.9214620
4. Ramesh, S., Vydeki, D.: Rice blast disease detection and classification using machine learning algorithm. In: 2018 2nd International Conference on Micro-Electronics and Telecommunication Engineering (ICMETE), pp. 255–259 (2018). https://doi.org/10.1109/ICMETE.2018.00063
5. Ayub, U., Moqurrab, S.A.: Predicting crop diseases using data mining approaches: classification. In: 2018 1st International Conference on Power, Energy and SmartGrid (Icpesg). https://doi.org/10.1109/Icpesg.2018.8384523
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