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Tomato Disease Detection Using CNN by kapil is a document available to read on EtoBox.
What is Tomato Disease Detection Using CNN about?
The study focuses on the early identification and severity estimation of diseases affecting tomato plants, utilizing a CNN model enhanced by the WUDHOA algorithm. It aims to improve disease detection mechanisms and compares the proposed method with traditional strategies. Results indicate that the WUDHOA approach achieves a detection accuracy of 96.35%, demonstrating its effectiveness in classifying tomato plant diseases.
- Author
- kapil
- Language
- EN