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EDI-YOLO: An Instance Segmentation Network for Tomato Main Stems and Lateral Branches in Greenhouse Environments

Agricultural robots operating in greenhouse environments face substantial challenges in detecting tomato stems, including fluctuating lighting, cluttered backgrounds, and the stems’ inherently slender morphology. This study introduces EfficientV1-C2fDWR-IRMB-YOLO (EDI-YOLO), an enhanced model built...

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Main Authors: Peng Ji, Nengwei Yang, Sen Lin, Ya Xiong
Format: Artigo
Language:Inglês
Published: MDPI AG 2025-10-01
Series:Horticulturae
Subjects:
YOLOv8
instance segmentation
main stem and lateral branches
tomato
greenhouse environment
Online Access:https://www.mdpi.com/2311-7524/11/10/1260
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