Identification of tomato leaf diseases based on multi-channel automatic orientation recurrent attention network

[1]  Mingfang He,et al.  MDAM-DRNet: Dual Channel Residual Network With Multi-Directional Attention Mechanism in Strawberry Leaf Diseases Detection , 2022, Frontiers in Plant Science.

[2]  Guoxiong Zhou,et al.  Tomato Leaf Disease Detection System Based on FC-SNDPN , 2022, Multimedia Tools and Applications.

[3]  Weiwei Cai,et al.  DCCAM-MRNet: Mixed Residual Connection Network with Dilated Convolution and Coordinate Attention Mechanism for Tomato Disease Identification , 2022, Computational intelligence and neuroscience.

[4]  Guoxiong Zhou,et al.  Deep multi-scale dual-channel convolutional neural network for Internet of Things apple disease detection , 2022, Comput. Electron. Agric..

[5]  Jiagui Chen,et al.  RIC-Net: A plant disease classification model based on the fusion of Inception and residual structure and embedded attention mechanism , 2022, Comput. Electron. Agric..

[6]  Jizhan Liu,et al.  Tomato Leaf Disease Diagnosis Based on Improved Convolution Neural Network by Attention Module , 2021, Agriculture.

[7]  Lijuan Tan,et al.  Tomato Leaf Diseases Classification Based on Leaf Images: A Comparison between Classical Machine Learning and Deep Learning Methods , 2021, AgriEngineering.

[8]  Guoxiong Zhou,et al.  EM-ERNet for image-based banana disease recognition , 2021, Journal of Food Measurement and Characterization.

[9]  Xiao Chen,et al.  Identification of tomato leaf diseases based on combination of ABCK-BWTR and B-ARNet , 2020, Comput. Electron. Agric..

[10]  Jagadeesh Basavaiah,et al.  Tomato Leaf Disease Classification using Multiple Feature Extraction Techniques , 2020, Wireless Personal Communications.

[11]  Yaser Ahangari Nanehkaran,et al.  Using deep transfer learning for image-based plant disease identification , 2020, Comput. Electron. Agric..

[12]  Ayan Seal,et al.  SoyNet: Soybean leaf diseases classification , 2020, Comput. Electron. Agric..

[13]  Amit Prakash Singh,et al.  Hybrid SVM-LR Classifier for Powdery Mildew Disease Prediction in Tomato Plant , 2020, 2020 7th International Conference on Signal Processing and Integrated Networks (SPIN).

[14]  M. Kaur,et al.  Development Of An Improved Tomato Leaf Disease Detection And Classification Method , 2019, 2019 IEEE Conference on Information and Communication Technology.

[15]  Syed Ahmad Chan Bukhari,et al.  A citrus fruits and leaves dataset for detection and classification of citrus diseases through machine learning , 2019, Data in brief.

[16]  Quoc V. Le,et al.  Searching for MobileNetV3 , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

[17]  In-So Kweon,et al.  CBAM: Convolutional Block Attention Module , 2018, ECCV.

[18]  Gang Sun,et al.  Squeeze-and-Excitation Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[19]  Tao Mei,et al.  Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[20]  Saeid Minaei,et al.  Vision-based pest detection based on SVM classification method , 2017, Comput. Electron. Agric..

[21]  Jian Sun,et al.  Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[22]  Jonathan Krause,et al.  3D Object Representations for Fine-Grained Categorization , 2013, 2013 IEEE International Conference on Computer Vision Workshops.

[23]  Yue Wu,et al.  Probabilistic Non-Local Means , 2013, IEEE Signal Processing Letters.

[24]  Jean-Michel Morel,et al.  A non-local algorithm for image denoising , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[25]  Stephen Lin,et al.  Swin Transformer: Hierarchical Vision Transformer using Shifted Windows , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

[26]  Sweta Jain,et al.  Tomato plant disease detection using transfer learning with C-GAN synthetic images , 2021, Comput. Electron. Agric..

[27]  Asymptotic Non-local Means Image Denoising Algorithm , 2020 .

[28]  Fei-Fei Li,et al.  Novel Dataset for Fine-Grained Image Categorization : Stanford Dogs , 2012 .