Paper Details

The purpose of this study is to investigate how Machine Learning (ML) methods are applied in the food industry. Using a systematic literature review methodology, this study examines the research work on carried out at several scientific platforms that connect ML and the food sector from one side and AI and supply chain from the other. AI and ML technologies have good prospects to improve the performance of the Food Industry (FI) which is highly promising, The application of AI and ML in FI networks offers competitive advantages for improvement because numerous researchers have developed AI and ML-related models that were validated and discovered to be successful in optimizing FI. Some scholars contend that AI and ML are now both generating value, while others think they are still underused and that the food industry may benefit much from their tools and approaches. The review shows that AI and ML have the ability to lower financial losses, support the responsiveness and efficiency of the food industry.

Artificial Intelligence, Machine Learning, Supply Chain Management, Sustainable Development, Food Industry.