Detection: A convolutional network method for plant disease recognition by Enow Takang Achuo Albert, Ngalle Bille, Ngonkeu Mangaptche Eddy Leonard

Subjects: “…plant disease recognition…”
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Research on agricultural disease recognition methods based on very large Kernel convolutional network-RepLKNet by Guoquan Pei, Xueying Qian, Bing Zhou, Zigao Liu, Wendou Wu

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An Enhanced Deep Learning Model for Effective Crop Pest and Disease Detection by Yongqi Yuan, Jinhua Sun, Qian Zhang

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LiSA-MobileNetV2: an extremely lightweight deep learning model with Swish activation and attention mechanism for accurate rice disease classification by Yongqi Xu, Dongcheng Li, Changcheng Li, Zheming Yuan, Zhijun Dai

Subjects: “…disease recognition…”
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A lightweight and explainable CNN model for empowering plant disease diagnosis by Chiranjit Pal, Swastik Karmakar, Imon Mukherjee, Partha Pratim Chakrabarti

Subjects: “…Plant disease recognition…”
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Convolutional neural network for IT lung diagnostics by U. A. Vishniakou, T. He

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ECVNet: A Fusion Network of Efficient Convolutional Neural Networks and Visual Transformers for Tomato Leaf Disease Identification by Fendong Zou, Jing Hua, Yuanhao Zhu, Jize Deng, Ruimin He

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H-DSAE: a hybrid technique to recognize heart disease by K. Uma Maheswari, A. Valarmathi

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Background-Masked Lightweight Approach for Pear Leaf Disease Recognition by Romiyal George, Selvarajah Thuseethan, Roshan G. Ragel, Sutharshan Rajasegarar, Mamoun Alazab, Hamish Campbell, John Yearwood

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Lightweight Pyramidal Multi-Scale Attention Residual Network for Plant Disease Recognition by Wenjie Liu, Guoqing Wu, Han Wang, Fuji Ren

Subjects: “…Plant disease recognition…”
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Tea Disease Recognition Based on Image Segmentation and Data Augmentation by Ji Li, Chenyi Liao

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Research on the Method of Crop Pest and Disease Recognition Based on the Improved YOLOv7-U-Net Combined Network by Wenchao Xiang, Zitao Du, Xinran Liu, Zehui Lu, Yuna Yin

Subjects: “…crop pest and disease recognition…”
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IT diagnostics of Parkinson's disease based on voice markers and decreased motor activity by U. V. Vishniakou, X. Yiwei

Subjects: “…parkinsons disease recognition…”
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ViT-RoT: Vision Transformer-Based Robust Framework for Tomato Leaf Disease Recognition by Sathiyamohan Nishankar, Velalagan Pavindran, Thurairatnam Mithuran, Sivaraj Nimishan, Selvarajah Thuseethan, Yakub Sebastian

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DINOV2-FCS: a model for fruit leaf disease classification and severity prediction by Chunhui Bai, Chunhui Bai, Chunhui Bai, Lilian Zhang, Lilian Zhang, Lilian Zhang, Lutao Gao, Lutao Gao, Lutao Gao, Lin Peng, Lin Peng, Lin Peng, Peishan Li, Peishan Li, Peishan Li, Linnan Yang, Linnan Yang, Linnan Yang

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Recent advances in pest and disease recognition: a comprehensive review by Honglin Liu, Bisheng Zhan, Ruitong Fang, Yi Zhang, Yujiao Ma, Ze Shen, Qirong Mao

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The role of explainable artificial intelligence in disease prediction: a systematic literature review and future research directions by Razan Alkhanbouli, Hour Matar Abdulla Almadhaani, Farah Alhosani, Mecit Can Emre Simsekler

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Cross-Modal Data Fusion via Vision-Language Model for Crop Disease Recognition by Wenjie Liu, Guoqing Wu, Han Wang, Fuji Ren

Subjects: “…crop disease recognition…”
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Enhancing anomaly detection in plant disease recognition with knowledge ensemble by Jiuqing Dong, Jiuqing Dong, Jiuqing Dong, Heng Zhou, Alvaro Fuentes, Alvaro Fuentes, Sook Yoon, Dong Sun Park, Dong Sun Park

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YOLOv8-GABNet: An Enhanced Lightweight Network for the High-Precision Recognition of Citrus Diseases and Nutrient Deficiencies by Qiufang Dai, Yungao Xiao, Shilei Lv, Shuran Song, Xiuyun Xue, Shiyao Liang, Ying Huang, Zhen Li

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