Insights In Nutrition And Agri-food Science Technology By Use Of Smart Algorithm, Machine Learning, Multivariable And Omics Data Analysis

This article discusses the use of omics studies and data science approaches in the field of food chemistry and nutrition science. It highlights the potential for these technologies to shape a more sustainable future in the Agri-Food industry and calls for multidisciplinary research in this area. The article also introduces a special issue focused on this topic and invites submissions on various related topics.