| KEYWORD |
Area Engineering
Orchestration of Internet of Things and AI at the Edge for Precision Agriculture
Thesis abroad
Reference persons GUIDO MARCHETTO, ALESSIO SACCO
External reference persons Prof. Flavio Esposito - St. Louis University, USA
Research Groups DAUIN - GR-03 - COMPUTER NETWORKS GROUP - NETGROUP
Description This thesis explores the integration of Internet of Things (IoT) devices and Artificial Intelligence (AI) at the edge to enhance precision agriculture. By deploying IoT sensors in the field, real-time data on soil moisture, temperature, and crop health can be collected. AI algorithms process this data at the edge, providing actionable insights to farmers, optimizing irrigation, and improving crop yield. This orchestration minimizes latency and reduces the need for cloud-based processing, making it a cost-effective and efficient solution for modern agriculture.
Deadline 11/07/2025
PROPONI LA TUA CANDIDATURA