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Updated: Jun 6, 2025

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
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Published on: June 28, 2016

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对绿色咖啡豆检测和缺陷分类的YOLO模型进行比较分析

Hira Lal Gope1, Hidekazu Fukai2, Fahim Mahafuz Ruhad3

  • 1Department of Computer Science and Engineering, Faculty of Agricultural Engineering and Technology, Sylhet Agricultural University, Sylhet-3100, Bangladesh. hlgope@sau.ac.bd.

Scientific reports
|November 23, 2024
PubMed
概括

定制的YOLOv8n模型擅长识别和分类绿色咖啡豆,为咖啡行业的自动化质量控制提供高精度和效率. 这项研究有助于为农业应用选择最佳的You Only Look Once (YOLO) 模型.

关键词:
分析 分析 分析分类 分类 分类 分类.咖啡豆中的咖啡豆.定制-YOLOv8nn 在线观看缺陷的缺陷 缺陷的缺陷检测 检测 检测 检测 检测和评估指标.

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