Minced Meat Classification using Digital Imaging System Coupled with Machine Learning

Selfi Stendafity, Agus M. Hatta*, Iwan C. Setiadi, Sekartedjo, Andi Rahmadiansah

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Meat is widely recognized as a prevalent dietary choice due to its intricate nutritional profile, and its production constitutes a significant component of the global cattle industry. Due to the significant market demand for meat and the pursuit of maximizing profitability, meat products are often adulterated with additional ingredients. A diverse amount of meat can be effectively detected by the comparison model of machine learning. This study provides a comprehensive analysis of the performance of low-cost imaging for classifying minced meat product. In this study, a variety of raw minced meat, including beef, lamb, and pork, was utilized. We investigated the feasibility of low-cost imaging system coupled with machine learning classifier such as Decision Tree, Random Forest, K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Logistic Regression, and AdaBoost Classifier. The findings indicate that the K-nearest neighbors (KNN) model exhibits superior performance, with an overall classification accuracy of 98.2%. The K-Nearest Neighbors (KNN) model exhibits a notable level of precision and accuracy across all classes. Therefore, this study confirms that machine learning algorithm provide robust features for classifying minced meat from the image data.

Original languageEnglish
Title of host publication2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages804-808
Number of pages5
ISBN (Electronic)9798350309225
DOIs
Publication statusPublished - 2023
Event2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Lombok, Indonesia
Duration: 14 Nov 202315 Nov 2023

Publication series

Name2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings

Conference

Conference2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023
Country/TerritoryIndonesia
CityLombok
Period14/11/2315/11/23

Keywords

  • Classification
  • Color Imaging
  • Food Security
  • Machine Learning
  • Minced Meat

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