Lightweight Detection Method for Real-Time Monitoring Tomato Growth Based on Improved YOLOv5s
In order to monitor the growth and development of tomatoes, and improve the efficiency of flower and fruit thinning and tomato picking, this paper constructs a tomato flower and fruit dataset and proposes a TF-YOLOv5s model for the detection of tomato flowers and fruits in natural environments. Base...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10443476/ |