Journal of Smart and Sustainable Farming
Received On : 10 February 2025
Revised On : 18 March 2025
Accepted On : 20 April 2025
Published On : 22 May 2025
Volume 01, 2025
Pages : 068-077
It is important for individuals to have access to sustenance in order to sustain their existence. Enhancing food logistics, food delivery, and food safety, as well as minimizing food waste and optimizing the supply chain, are imperative. The use of machine learning and AI is crucial in attaining these objectives. The proliferation and advancement of computing networks have facilitated the emergence of state-of-the-art logistics and industrial infrastructure. The networks including sensors, machines, systems, intelligent devices, and individuals are continuously producing novel data. With the increasing computational capabilities, the analysis of Big Data may now be conducted more efficiently, comprehensively, and extensively than ever before. The aforementioned advancements have given rise to a novel epoch identified as Smart Factory or Industry 4.0, whereby there is a notable emphasis on use of AI technologies. The objective of this essay is to examine the present and prospective trajectories of artificial intelligence implementation within the food business. Before delving into the current and forthcoming advancements in food processing and manufacturing, this article will elucidate the selection principles, or criteria, for choosing an AI methodology.
Artificial Intelligence Technologies, Machine Learning, Food Processing and Production, Food Logistics, Food and Beverage Industry.
The author reviewed the results and approved the final version of the manuscript.
Conceptualization: Fengbin Sun and Qingbin Sun; Methodology: Fengbin Sun and Qingbin Sun; Data Curation: Fengbin Sun; Writing- Original Draft Preparation: Qingbin Sun; Validation: Fengbin Sun and Qingbin Sun; Writing- Reviewing and Editing: Fengbin Sun; All authors reviewed the results and approved the final version of the manuscript.
Author(s) thanks to Dr. Qingbin Sun for this research completion and support.
No funding was received to assist with the preparation of this manuscript.
Conflict of interest
The authors have no conflicts of interest to declare that are relevant to the content of this article.
Data sharing is not applicable to this article as no new data were created or analysed in this study.
Contributions
All authors have equal contribution in the paper and all authors have read and agreed to the published version of the manuscript.
Corresponding Author
This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0).
https://creativecommons.org/licenses/by/4.0/.
This license permits unrestricted use, sharing, distribution, reproduction, and adaptation in any medium or format, including for commercial purposes, provided that appropriate credit is given to the original author(s) and the source, a link to the license is provided, and any changes made are indicated.
© 2025 Fengbin Sun and Qingbin Sun. The author(s) retain copyright of the work. The author(s) grant the Journal of Smart and Sustainable Farming (JSSF) and its publisher, Ansis Publications, the right of first publication and the right to identify itself as the original publisher of the article.
Fengbin Sun and Qingbin Sun, “The Present and Future Developments in AI Applications Within the Food Industry”, Journal of Smart and Sustainable Farming, pp. 068-077, 2025, doi: 10.64026/JSSF/2025007.