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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Bibliografiska uppgifter

Huvudupphov:	Guoxu Liu, Yonghui Zhang, Jun Liu, Deyong Liu, Chunlei Chen, Yujie Li, Xiujie Zhang, Philippe Lyonel Touko Mbouembe
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Frontiers Media S.A. 2024-09-01
Serie:	Frontiers in Plant Science
Ämnen:	tomato detection YOLOv7 Swin Transformer Trident Pyramid Network Focaler-IoU
Länkar:	https://www.frontiersin.org/articles/10.3389/fpls.2024.1452821/full
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