A Detection Method for Tomato Fruit Common Physiological Diseases Based on YOLOv2
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8960968/8964637/08964919.pdf?arnumber=8964919
Cited by 16 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 Artificial IoT-Enabled Smart Production Line for 360° Visual Defect Detection and Classification of Cherry Tomatoes;IEEE Internet of Things Journal;2024-05-15
2. Machine learning based model for leaf diseases detection;2024 International Conference on Smart Systems for applications in Electrical Sciences (ICSSES);2024-05-03
3. Multi-Task Learning for Tomato Crop Disease Detection and Severity Estimation using CNN Framework;2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS);2024-04-18
4. Deep Learning Technique to detect Brain tumor disease using YOLO v8;2024 2nd International Conference on Networking and Communications (ICNWC);2024-04-02
5. Detection of Small Lesions on Grape Leaves Based on Improved YOLOv7;Electronics;2024-01-22
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