Substantial Enhancement of Overall Efficiency and Effectiveness of the Pasteurization and Packaging Process Using Artificial Intelligence in the Food Industry

Author:

Singh Poornima,Pandey Vinay Kumar,Singh Rahul,Negi Prateek,Maurya Swami Nath,Rustagi Sarvesh

Publisher

Springer Science and Business Media LLC

Reference67 articles.

1. Addanki, M., Patra, P., & Kandra, P. (2022). Recent advances and applications of artificial intelligence and related technologies in the food industry. Applied Food Research, 2(2), 100126.

2. Afolaranmi, S. O., Drakoulelis, M., Filios, G., Melchiorre, C., Nikoletseas, S., Panagiotou, S. H., & Timpilis, K. (2023). zPasteurAIzer: An AI-enabled solution for product quality monitoring in tunnel pasteurization machines. Machines, 11(2), 191.

3. Agarwal, S., Punn, N. S., Sonbhadra, S. K., Tanveer, M., Nagabhushan, P., Pandian, K. K., & Saxena, P. (2020). Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review. arXiv preprint arXiv:2005.11507.

4. Agarwal, P., Tamer, M., Sahraei, M. H., & Budman, H. (2019). Deep learning for classification of profit-based operating regions in industrial processes. Industrial & Engineering Chemistry Research, 59(6), 2378–2395. https://doi.org/10.1021/acs.iecr.9b04737

5. Amole, A. O., Olabode, O. E., Akinyele, D. O., & Akinjobi, S. G. (2022). Optimal temperature control scheme for milk pasteurization process using different tuning techniques for a proportional integral derivative controller. Iranian Journal of Electrical & Electronic Engineering, 18(3), 1–16.

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