Automated Detection of Plant Diseases Using Image Processing and Faster R-CNN Algorithm-Reference-Cited by-同舟云学术

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Automated Detection of Plant Diseases Using Image Processing and Faster R-CNN Algorithm

Published:2019-12 Issue: Volume: Page:
ISSN:
Container-title:2019 International Conference on Sustainable Technologies for Industry 4.0 (STI)
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Author:

Cynthia Shamse Tasnim,Shahrukh Hossain Kazi Md.,Hasan Md. Nazmul,Asaduzzaman Md.,Das Amit Kumar

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9051611/9067972/09068092.pdf?arnumber=9068092

Cited by 28 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. From pixels to plant health: accurate detection of banana Xanthomonas wilt in complex African landscapes using high-resolution UAV images and deep learning;Discover Applied Sciences;2024-07-11

2. Research on Intelligent Recognition for Plant Pests and Diseases Based on Improved YOLOv8 Model;Applied Sciences;2024-06-20

3. Hybrid CNN-RNN Modelling for Precisely Classifying the Seriousness of Mustard White Rust Disease at Five Levels;2024 5th International Conference for Emerging Technology (INCET);2024-05-24

4. Green Intelligence: A Sequential CNN Odyssey in Mustard Leaf Disease Detection;2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS);2024-01-28

5. Smart Detection of Rose Rust Using CNN-Random Forest Fusion;2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE);2024-01-24

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