AI-Enabled IoT for Food Computing: Challenges, Opportunities, and Future Directions
University of Reggio Calabria · University of Naples Federico II
Abstract
Food computing refers to the integration of digital technologies, such as artificial intelligence (AI), the Internet of Things (IoT), and data-driven approaches, to address various challenges in the food sector. It encompasses a wide range of technologies that improve the efficiency, safety, and sustainability of food systems, from production to consumption. It represents a transformative approach to addressing challenges in the food sector by integrating AI, the IoT, and data-driven methodologies. Unlike traditional food systems, which primarily focus on production and safety, food computing leverages AI for intelligent decision making and the IoT for real-time monitoring, enabling significant advancements in…
Citation impact
- FWCI
- 81.69
- Percentile
- 100%
- References
- 155
Authors
3Topics & keywords
- Internet of Things
- Computer science
- Data science
- Telecommunications
- Engineering
- World Wide Web