Study on Rice Grain Mildewed Region Recognition Based on Microscopic Computer Vision and YOLO-v5 Model

Study on Rice Grain Mildewed Region Recognition Based on Microscopic Computer Vision and YOLO-v5 Model

This study aims to develop a high-speed and nondestructive mildewed rice grain detection method. First, a set of microscopic images of rice grains contaminated by <i>Aspergillus niger</i>, <i>Penicillium citrinum</i>, and <i>Aspergillus cinerea</i> are acquired to...

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Bibliographic Details
Main Authors: Ke Sun, Yu-Jie Zhang, Si-Yuan Tong, Meng-Di Tang, Chang-Bao Wang
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Foods
Subjects:
computer vision
microscopic image
convolutional neural network
mildewed rice grain
rapid detection
Online Access:https://www.mdpi.com/2304-8158/11/24/4031

Internet

https://www.mdpi.com/2304-8158/11/24/4031

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