Convolutional Neural Network for Object Detection in Garlic Root Cutting Equipment

Convolutional Neural Network for Object Detection in Garlic Root Cutting Equipment

Traditional manual garlic root cutting is inefficient and can cause food safety problems. To develop food processing equipment, a novel and accurate object detection method for garlic using deep learning—a convolutional neural network—is proposed in this study. The you-only-look-once (YOLO) algorith...

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Bibliographic Details
Main Authors: Ke Yang, Baoliang Peng, Fengwei Gu, Yanhua Zhang, Shenying Wang, Zhaoyang Yu, Zhichao Hu
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Foods
Subjects:
convolutional neural network
YOLO
object detection
garlic root cutting
food safety control
Online Access:https://www.mdpi.com/2304-8158/11/15/2197

Internet

https://www.mdpi.com/2304-8158/11/15/2197

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