Journal of Global Communication

The theory and development of computer systems capable of performing tasks that typically require human intellect is known as artificial intelligence (AI). In an effort to increase revenues and discover new ways to engage with and serve customers, the food sector has begun embracing AI technology due to intense competition and rising demand. The food industry is seeking more intelligent systems because of their enhanced capacity for various activities such as food quality assessment, control tools, food categorization, and prediction. This article evaluates these diverse applications and compares their benefits, drawbacks, and formulations to determine the best approaches for advancing future AI-related innovations in the food industry. Implementing AI technology at every level can significantly improve and enhance the efficiency of the food supply chain. Machine learning and deep learning are two technologies that can be used to forecast global demand and provide safe food products. These are among the most widely applied algorithms in artificial intelligence. However, many locations still do not have fully automated food processing. AI is aiding the food processing industry in various ways, including sorting goods, adhering to health and safety regulations, developing new products, and streamlining the supply chain. In essence, technology simplifies work processes, making tasks easier for workers and increasing operational effectiveness. By optimizing process automation, the food processing sector can ensure optimal food quality and hygienic conditions.