Classification of Fine-Grained Crop Disease by Dilated Convolution and Improved Channel Attention Module
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- Jianwu Lin & Xiaoyulong Chen & Renyong Pan & Tengbao Cao & Jitong Cai & Yang Chen & Xishun Peng & Tomislav Cernava & Xin Zhang, 2022. "GrapeNet: A Lightweight Convolutional Neural Network Model for Identification of Grape Leaf Diseases," Agriculture, MDPI, vol. 12(6), pages 1-17, June.
- 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.
- Jinzhu Lu & Lijuan Tan & Huanyu Jiang, 2021. "Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classification," Agriculture, MDPI, vol. 11(8), pages 1-18, July.
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Keywords
fine-grained crop disease; convolutional neural networks; attention mechanism; classification;All these keywords.
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