Back to articles
AIOT Machine Learning on Medical Imaging Application
Volume: 66 | Article ID: jist1078
Image
Machine Learning-based Whitefly Feature Identification and Counting
Kai-Chao Yao
  Kai-Chao Yao
Affiliation
Department of Industrial Education and Technology, National Changhua University of Education, No. 2 Shi-Da Road, Changhua City, Taiwan
 Find this author on Google Scholar
 Find this author on PubMed
Shih-Feng Fu
  Shih-Feng Fu
Affiliation
Department of Industrial Education and Technology, National Changhua University of Education, No. 2 Shi-Da Road, Changhua City, Taiwan
 Find this author on Google Scholar
 Find this author on PubMed
Wei-Tzer Huang
  Wei-Tzer Huang
Affiliation
Department of Industrial Education and Technology, National Changhua University of Education, No. 2 Shi-Da Road, Changhua City, Taiwan
 Find this author on Google Scholar
 Find this author on PubMed
Cheng-Chun Wu
  Cheng-Chun Wu
Affiliation
Department of Industrial Education and Technology, National Changhua University of Education, No. 2 Shi-Da Road, Changhua City, Taiwan
 Find this author on Google Scholar
 Find this author on PubMed
  DOI :  10.2352/J.ImagingSci.Technol.2022.66.1.010401  Published Online :  January 2022
Abstract
Abstract

This article uses LabVIEW, a software program to develop a whitefly feature identification and counting technology, and machine learning algorithms for whitefly monitoring, identification, and counting applications. In addition, a high-magnification CCD camera is used for on-demand image photography, and then the functional programs of the VI library of LabVIEW NI-DAQ and LabVIEW NI Vision Development Module are used to develop image recognition functions. The grayscale-value pyramid-matching algorithm is used for image conversion and recognition in the machine learning mode. The built graphical user interface and device hardware provide convenient and effective whitefly feature identification and sample counting. This monitoring technology exhibits features such as remote monitoring, counting, data storage, and statistical analysis.

Journal Title : Journal of Imaging Science and Technology
Publisher Name : Society for Imaging Science and Technology
Subject Areas :
Views 107
Downloads 18
 DOI 10.2352/J.ImagingSci.Technol.2022.66.1.010401
 articleview.views 107
 articleview.downloads 18
  Cite this article 

Kai-Chao Yao, Shih-Feng Fu, Wei-Tzer Huang, Cheng-Chun Wu, "Machine Learning-based Whitefly Feature Identification and Counting"  in Journal of Imaging Science and Technology,  2022,  pp 010401-1 - 010401-9,  https://doi.org/10.2352/J.ImagingSci.Technol.2022.66.1.010401

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2022
  Article timeline 
  • received January 2021
  • accepted March 2021
  • PublishedJanuary 2022
Preprint submitted to:
  Login or subscribe to view the content