A Smart Mobile Diagnosis System for Citrus Diseases Based on Densely Connected Convolutional Networks

Author:

Pan Wenyan,Qin JiaohuaORCID,Xiang Xuyu,Wu Yan,Tan Yun,Xiang LingyunORCID

Funder

Key Research and Development Plan of Hunan Province

National Natural Science Foundation of China

Science Research Projects of Hunan Provincial Education Department

Postgraduate Science and Technology Innovation Foundation of the Central South University of Forestry and Technology

Science and Technology Innovation Platform and Talent Plan of Hunan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 45 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Automatic Detection of Citrus Fruits and Leaves Diseases Using CNN;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10

2. AI Driven Interactive Drone Agribot for Real Time Assistance for Small Scale Farmers;2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC);2024-06-28

3. Advanced Citrus Disease Analysis: Integrating ML and DL for Improved Identification and Classification;2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC);2024-06-28

4. A disease monitoring system using multi-class capsule network for agricultural enhancement in muskmelon;Multimedia Tools and Applications;2024-03-12

5. Plants Disease Classification and Recommendation System using Deep Learning;International Journal of Advanced Research in Science, Communication and Technology;2024-02-22

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