An improved YOLOv7 model based on Swin Transformer and Trident Pyramid Networks for accurate tomato detection

Accurate fruit detection is crucial for automated fruit picking. However, real-world scenarios, influenced by complex environmental factors such as illumination variations, occlusion, and overlap, pose significant challenges to accurate fruit detection. These challenges subsequently impact the comme...

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الحاوية / القاعدة:	Frontiers in Plant Science
المؤلفون الرئيسيون:	Guoxu Liu, Yonghui Zhang, Jun Liu, Deyong Liu, Chunlei Chen, Yujie Li, Xiujie Zhang, Philippe Lyonel Touko Mbouembe
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	Frontiers Media S.A. 2024-09-01
الموضوعات:	tomato detection YOLOv7 Swin Transformer Trident Pyramid Network Focaler-IoU
الوصول للمادة أونلاين:	https://www.frontiersin.org/articles/10.3389/fpls.2024.1452821/full