Exploring End-to-End object detection with transformers versus YOLOv8 for enhanced citrus fruit detection within trees
This paper presents a comparative analysis between two state-of-the-art object detection models, DETR and YOLOv8, focusing on their effectiveness in fruit detection for yield prediction in agriculture. The study begins with data acquisition, utilizing images and corresponding annotations to train an...
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| Main Authors: | Zineb Jrondi, Abdellatif Moussaid, Moulay Youssef Hadi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
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| Series: | Systems and Soft Computing |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772941924000322 |
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