Electronic nose and machine learning for modern meat inspection

Key Points

• The electronic nose effectively detects spoilage in meat products, ensuring quality control.
• Key evidence from tests showed a 30% increase in spoilage detection rates using machine learning methods.
• Analysis incorporates sensor data via machine learning algorithms to automate meat quality assessments.
• This approach supports enhanced food safety measures; further development and validation are needed in diverse settings.