Affiliation:
1. Luleå University of Technology
Abstract
Abstract
This research examines the potential use of modern technologies such as big data, data science, artificial intelligence, and machine learning, which have penetrated several aspects of our lives, to address food concerns and problems, forming the nowadays called food analytics. We discuss the potential use of such technologies in relation to food problems and shortages. We analyze the opportunities and challenges associated with the use of such technological advancements and the potential benefits for the global food system. We also provide a research agenda with future directions for the application of big data, data science, artificial intelligence, and machine learning to the food ecosystem.
Publisher
Research Square Platform LLC
Reference61 articles.
1. Aazam M, Hung PP, Huh EN (2014) Cloud of Things: Integrating Internet of Things with Cloud Computing and the Issues Involved. Applied Sciences and Technology (IBCAST)
2. Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS research;Agarwal R;Inform Syst Res,2014
3. Ahalt S (2013) Why Data Science? Presented at the National Consortium for Data Science. Chapel Hill
4. Influence of the Involvement in Food Waste Reduction on Attitudes towards Sustainable Products Containing Seafood By-products;Altintzoglou T;J Clean Prod,2021
5. Amankwah-Amoah J, Adomako S (2019) An Organizing Framework. Comput Ind 105:204–212. https://doi.org/10.1016/j.compind.2018.12.015. Big Data Analytics and Business Failures in Data-rich Environments: