YOLOFig detection model development using deep learning

Abstract The detection of fruit, including accuracy and speed is of great significance for robotic harvesting. Nevertheless, attributes such as illumination variation, occlusion, and so on have made fruit detection a challenging task. A robust YOLOFig detection model was proposed to solve detection...

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Bibliographic Details
Main Authors: Olarewaju Mubashiru Lawal, Huamin Zhao
Format: Article
Language:English
Published: Wiley 2021-11-01
Series:IET Image Processing
Subjects:
Online Access:https://doi.org/10.1049/ipr2.12293