OMC-YOLO: A Lightweight Grading Detection Method for Oyster Mushrooms
In this paper, a lightweight model—OMC-YOLO, improved based on YOLOv8n—is proposed for the automated detection and grading of oyster mushrooms. Aiming at the problems of low efficiency, high costs, and the difficult quality assurance of manual operations in traditional oyster mushroom cultivation, O...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-07-01
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Series: | Horticulturae |
Subjects: | |
Online Access: | https://www.mdpi.com/2311-7524/10/7/742 |