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Machine learning, first defined in 1959, is categorized into supervised and unsupervised learning, with applications in food quality assessment. Foodborne diseases affect millions globally, highlighting the need for efficient monitoring systems in food safety due to issues like adulteration. The e-nose system, an artificial olfactory tool, offers a cost-effective and rapid method for assessing food quality, with increasing adoption in the food industry despite some challenges.

Author

Mohammad Aqib Javed

Language

EN