Abstract
Food safety is an important issue nowadays. Now, people become more aware of food safety and health concerns as their lifestyles have changed they follow more precautions for food consumption. The conventional technique of food safety is not capable of ensuring food safety very precisely and has many limitations so the food business operators are facing economic losses. To resolve these limitations, the researchers and scientists developed AI-based integrated machine learning technology. Machine learning is a computational science that enables learning, reasoning, and decision-making by interpreting and analyzing statistical patterns and subject data. ML tools like sensors, electric nose, and tongue, smart indicators, line-scan hyperspectral imaging systems, RT-PCR, ELISA, etc. are capable of overcoming these limitations of food safety practices by using the ML algorithms. The ML technique has great potential to overcome food safety issues and future applications in the food sector.
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Rahul, K., Banyal, R.K., Arora, N. (2024). Machine Learning and its Application in Food Safety. In: Das, S., Saha, S., Coello Coello, C.A., Bansal, J.C. (eds) Advances in Data-Driven Computing and Intelligent Systems. ADCIS 2023. Lecture Notes in Networks and Systems, vol 891. Springer, Singapore. https://doi.org/10.1007/978-981-99-9524-0_11
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