EffiMob-Net: A Deep Learning-Based Hybrid Model for Detection and Identification of Tomato Diseases Using Leaf Images
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- Shengyi Zhao & Yun Peng & Jizhan Liu & Shuo Wu, 2021. "Tomato Leaf Disease Diagnosis Based on Improved Convolution Neural Network by Attention Module," Agriculture, MDPI, vol. 11(7), pages 1-15, July.
- Anil Bhujel & Na-Eun Kim & Elanchezhian Arulmozhi & Jayanta Kumar Basak & Hyeon-Tae Kim, 2022. "A Lightweight Attention-Based Convolutional Neural Networks for Tomato Leaf Disease Classification," Agriculture, MDPI, vol. 12(2), pages 1-18, February.
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- Obed Appiah & Kwame Oppong Hackman & Belko Abdoul Aziz Diallo & Kehinde O. Ogunjobi & Son Diakalia & Ouedraogo Valentin & Damoue Abdoul-Karim & Gaston Dabire, 2024. "PlanteSaine: An Artificial Intelligent Empowered Mobile Application for Pests and Disease Management for Maize, Tomato, and Onion Farmers in Burkina Faso," Agriculture, MDPI, vol. 14(8), pages 1-23, July.
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Keywords
tomato leaf; disease; hybrid model; detection; deep learning;All these keywords.
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