On-spot Citrus Canker Disease Detection using YOLOv7
Author:
Affiliation:
1. Amrita School of Computing, Mysuru Campus Amrita Vishwa, Department of Computer Science, Vidyapeetham, India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10140172/10140203/10141105.pdf?arnumber=10141105
Reference23 articles.
1. Machine vision approach for classification of citrus leaves using fused features
2. Citrus disease detection and classification using end-to-end anchor-based deep learning model
3. A Comparative Analysis of Object Detection Metrics with a Companion Open-Source Toolkit
4. Convolution Neural Networks Backbone model for Citrus Leaf Disease Detection
5. Citrus Greening Infection Detection (CiGID) by Computer Vision and Deep Learning
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2. Early Cotton Plant Disease Detection using Drone Monitoring and Deep Learning;2024 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE);2024-02-16
3. Yolov7-ODCA: Object Detection of Pomelo Epidermis Defects Based on Improved YOLOv7;2023 3rd International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI);2023-12-15
4. A Deep Learning Approach – Monkey Detection using YOLOv7;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20
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