A Lightweight Attention-Based Convolutional Neural Networks for Tomato Leaf Disease Classification
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- Taejoo Kim & Hyeongjun Kim & Kyeonghoon Baik & Yukyung Choi, 2022. "Instance-Aware Plant Disease Detection by Utilizing Saliency Map and Self-Supervised Pre-Training," Agriculture, MDPI, vol. 12(8), pages 1-16, July.
- Xianguo Ren & Haiqing Tian & Kai Zhao & Dapeng Li & Ziqing Xiao & Yang Yu & Fei Liu, 2022. "Research on pH Value Detection Method during Maize Silage Secondary Fermentation Based on Computer Vision," Agriculture, MDPI, vol. 12(10), pages 1-17, October.
- Zhihua Hua & Haiyang Yu & Peng Jing & Caoyuan Song & Saifei Xie, 2023. "A Light-Weight Neural Network Using Multiscale Hybrid Attention for Building Change Detection," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
- Yanlei Xu & Shuolin Kong & Zongmei Gao & Qingyuan Chen & Yubin Jiao & Chenxiao Li, 2022. "HLNet Model and Application in Crop Leaf Diseases Identification," Sustainability, MDPI, vol. 14(14), pages 1-20, July.
- Dasen Li & Zhendong Yin & Yanlong Zhao & Wudi Zhao & Jiqing Li, 2023. "MLFAnet: A Tomato Disease Classification Method Focusing on OOD Generalization," Agriculture, MDPI, vol. 13(6), pages 1-15, May.
- Xiang Zhang & Huiyi Gao & Li Wan, 2022. "Classification of Fine-Grained Crop Disease by Dilated Convolution and Improved Channel Attention Module," Agriculture, MDPI, vol. 12(10), pages 1-16, October.
- Zahid Ullah & Najah Alsubaie & Mona Jamjoom & Samah H. Alajmani & Farrukh Saleem, 2023. "EffiMob-Net: A Deep Learning-Based Hybrid Model for Detection and Identification of Tomato Diseases Using Leaf Images," Agriculture, MDPI, vol. 13(3), pages 1-13, March.
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Keywords
attention module; convolutional neural networks; lightweight network; tomato disease; disease detection;All these keywords.
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