Tomato Disease Detection from Tomato Leaf Images Using CNN-Based Feature Extraction, Feature Selection with Whale Optimization Algorithm, and SVM Classifier
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-64605-8_14
Reference20 articles.
1. Agarwal, M., Singh, A., Arjaria, S., Sinha, A., Gupta, S.: Toled: tomato leaf disease detection using convolution neural network. Procedia Comput. Sci. 167, 293–301 (2020)
2. Albawi, S., Mohammed, T.A., Al-Zawi, S.: Understanding of a convolutional neural network. In: 2017 International Conference on Engineering and Technology (ICET), pp. 1–6. IEEE (2017)
3. Bhujel, A., Kim, N.E., Arulmozhi, E., Basak, J.K., Kim, H.T.: A lightweight attention-based convolutional neural networks for tomato leaf disease classification. Agriculture 12(2), 228 (2022)
4. Debnath, A., et al.: A smartphone-based detection system for tomato leaf disease using efficientnetv2b2 and its explainability with artificial intelligence (ai). Sensors 23(21), 8685 (2023)
5. Elnaggar, S., Mohamed, A.M., Bakeer, A., Osman, T.A.: Current status of bacterial wilt (ralstonia solanacearum) disease in major tomato (solanum lycopersicum l.) growing areas in egypt. Arch. Agric. Environ. Sci 3(4), 399–406 (2018)
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