The Present and Future Developments in AI Applications Within the Food Industry

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.