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Efficient Method for Tomato Leaf Disease Detection and Classification based on Hybrid Model of CNN and Extreme Learning Machine
Research article (2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC), 2023) · cited 14× · AI/ML
Efficient Method for Tomato Leaf Disease Detection and Classification based on Hybrid Model of CNN and Extreme Learning Machine
Summary
Efficient Method for Tomato Leaf Disease Detection and Classification based on Hybrid Model of CNN and Extreme Learning Machine is a scholarly article[1].
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Efficient Method for Tomato Leaf Disease Detection and Classification based on Hybrid Model of CNN and Extreme Learning Machine's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Efficient Method for Tomato Leaf Disease Detection and Classification based on Hybrid Model of CNN and Extreme Learning Machine. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-method-for-tomato-leaf-disease-detection-and-classification-based-on-hybrid-model-of-cnn-and-extreme-learning-
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BibTeX@misc{4ortxyz_efficient-method-for-tomato-leaf-disease-detection-and-classification-based-on-hybrid-model-of-cnn-and-extreme-learning-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient Method for Tomato Leaf Disease Detection and Classification based on Hybrid Model of CNN and Extreme Learning Machine}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-method-for-tomato-leaf-disease-detection-and-classification-based-on-hybrid-model-of-cnn-and-extreme-learning-}, note = {Accessed: 2026-05-24}}
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