1. ISTCMTM
  2. All Volumes and Issues
  3. Volume 85, no.2, 2024
  4. MEAT QUALITY RESEARCH USING CLASSIFICATION ALGORITHMS

MEAT QUALITY RESEARCH USING CLASSIFICATION ALGORITHMS

ISTCMTM.
2024;
Volume 85(2), Number 2
: 29-32
https://doi.org/10.23939/istcmtm2024.02.029
Authors:
  1. Ostap Kutyansky
  2. Volodymyr Pasternak
1
Lviv Polytechnic National University
2
Lviv Polytechnic National University

The food industry is going through constant improvements and is subject to analyzing consumer needs, product quality research is essential to striking this balance. In this regard, meat quality, the most essential food category, should be studied with unbiased methods that give precise and correct results. Classification algorithms are considered one of the main components of developing an objective and reliable method of meat quality assessment. Such algorithms imply meat analysis and classification automation with many parameters in mind, which eventually gives a chance to make quick and correct decisions concerning its quality.

Meat quality assessment
classification algorithms
machine learning
classification
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