Enhancing the Food Processing in Industry 5.0 Based on Artificial Intelligence

Authors

  • M. S. Maharajan Assistant Professor, Artificial Intelligence and Data Science, Panimalar Engineering College, Poonamallee, Chennai-600123
  • Thripthi P. Balakrishnan Assistant Professor, Computer Science and Engineering Department, Madanapalle Institute of Technology & Science, Angallu, Madanapalle 517325, Annamayya District, Andhrapradesh.
  • M. Amanullah Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai 602117, India.
  • G. Gayathiri Devi Associate Professor, Science and Humanities R.M.D. Engineering College, Kavaraipettai, Thiruvallur District, Tamil Nadu, India
  • A. Punitha Professor, ECE M.A.M School of Engineering, Trichy

Keywords:

Artificial intelligence, machine learning, food industry 5.0, flexible food production

Abstract

The new Industry 5.0 framework should taken into account which aims to incorporate value chain collaboration, human importance, and long-term viability in an industrial setting. During the present-day business sectors, human-robot collaboration is considered to be one of the best aspects. This demonstrates that contrasted to the previous edition, there will be a decreased risk of accuracy and that humans will conserve both labor and time. Machine learning encompasses artificial intelligence, which remains to be a crucial and encouraging factor in many different types of industries 5.0. Food, health, medication, and other firms continually produce positive results and continue to benefit consumers. This paper proposes artificial intelligence which offers data in a format that is accessible to individuals to access. Thus, the food industry 5.0, which is clearly explained in this paper, follows the convergence of artificial intelligence and human intelligence. As an outcome, industries will gain knowledge about latest developments in the food sector, particularly improved production, time savings, and economic growth. The production process is a flexible and personalized one as both human and AI are engaging in act. Therefore the preparation of foods in the promotive, hygienic, and healthiest manner is possible which will give good revenue for the food industries.

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References

. Kumar, I., Rawat, J., Mohd, N., & Husain, S. (2021). Opportunities of artificial intelligence and machine learning in the food industry. Journal of Food Quality, 2021, 1-10.

. Guruswamy, S., Pojić, M., Subramanian, J., Mastilović, J., Sarang, S., Subbanagounder, A., ... & Jeoti, V. (2022). Toward better food security using concepts from industry 5.0. Sensors, 22(21), 8377.

. Sharma, S., Gahlawat, V. K., Rahul, K., Mor, R. S., & Malik, M. (2021). Sustainable innovations in the food industry through artificial intelligence and big data analytics. Logistics, 5(4), 66.

. Wang, L. (2022). Innovation of Visual Communication Design of Interactive Packaging for Internet-Famous Food Based on Artificial Intelligence. Scientific Programming, 2022.

. Ben Ayed, R., & Hanana, M. (2021). Artificial intelligence to improve the food and agriculture sector. Journal of Food Quality, 2021, 1-7.

. Han, J., Li, T., He, Y., & Gao, Q. (2022). Using Machine Learning Approaches for Food Quality Detection. Mathematical Problems in Engineering, 2022.

. UmaMaheswaran, S. K., Kaur, G., Pankajam, A., Firos, A., Vashistha, P., Tripathi, V., & Mohammed, H. S. (2022). Empirical analysis for improving food quality using artificial intelligence technology for enhancing healthcare sector. Journal of Food Quality, 2022.

. Luo, X., & Zhou, Y. (2022). Potential Food Security Risks and Countermeasures under the Background of Seed Industry Innovation Based on Industry 4.0. Mobile Information Systems, 2022.

. Goyache, F., Bahamonde, A., Alonso, J., López, S., Del Coz, J. J., Quevedo, J. R., ... & Díez, J. (2001). The usefulness of artificial intelligence techniques to assess subjective quality of products in the food industry. Trends in Food Science & Technology, 12(10), 370-381.

. Sikder, M. R., Saif, S. J. A., Nadim, S. A., Tarik, K. I. B., & Islam, R. (2023). Integrating Circular Economy and Industry 5.0 for Sustainable Supply Chain Management in the Food Industry. Supply Chain Insider| ISSN: 2617-7420 (Print), 2617-7420 (Online), 9(1).

. Fosso Wamba, S., Queiroz, M. M., Guthrie, C., & Braganza, A. (2022). Industry experiences of artificial intelligence (AI): Benefits and challenges in operations and supply chain management. Production planning & control, 33(16), 1493-1497.

. Manning, L., Brewer, S., Craigon, P. J., Frey, J., Gutierrez, A., Jacobs, N., ... & Pearson, S. (2022). Artificial intelligence and ethics within the food sector: Developing a common language for technology adoption across the supply chain. Trends in Food Science & Technology, 125, 33-42.

. Nayak, J., Vakula, K., Dinesh, P., Naik, B., & Pelusi, D. (2020). Intelligent food processing: Journey from artificial neural network to deep learning. Computer Science Review, 38, 100297.

. Kler, R., Elkady, G., Rane, K., Singh, A., Hossain, M. S., Malhotra, D., ... & Bhatia, K. K. (2022). Machine learning and artificial intelligence in the food industry: a sustainable approach. Journal of Food Quality, 2022, 1-9.

. Sahni, V., Srivastava, S., & Khan, R. (2021). Modelling techniques to improve the quality of food using artificial intelligence. Journal of Food Quality, 2021, 1-10.

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Published

12.01.2024

How to Cite

Maharajan, M. S. ., Balakrishnan, T. P. ., Amanullah, M. ., Devi, G. G. ., & Punitha, A. . (2024). Enhancing the Food Processing in Industry 5.0 Based on Artificial Intelligence. International Journal of Intelligent Systems and Applications in Engineering, 12(12s), 231–239. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4508

Issue

Vol. 12 No. 12s (2024)

Section

Research Article

License

Copyright (c) 2024 M. S. Maharajan, Thripthi P. Balakrishnan, M. Amanullah, G. Gayathiri Devi, A. Punitha

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