Abstract
Precision Agriculture (PA) leverages ICT innovations to optimize resource allocation, minimize environmental impact, and meet global food demands. PA faces significant challenges in aggregating and processing vast amount of sensor data and environmental inputs from diverse sources like sensors, satellites, weather stations, and drones. This paper describes a scalable Edge-to-Cloud (E2C) system designed for Precision Irrigation services and applications. The system integrates existing and new services, automating data flows to enable precision irrigation and support decision making. A detailed description of the service hierarchy and of service allocation along Cloud, Edge and intermediate Fog nodes is provided. E2C emerges as a key architectural solution to cope with the challenges of smart farming.
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Acknowledgment
Research carried out within Agritech Nat. Res. Center, funded by NextGenerationEU (PNRR, Mission 4, Component 2, Investment 1.4 - D.D. 1032 17/06/2022, Code CN00000022, CUP D93C22000420001).
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Penzotti, G., Amoretti, M., Caselli, S. (2024). Enabling Precision Irrigation Through a Hierarchical Edge-to-Cloud System. In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2024. Lecture Notes on Data Engineering and Communications Technologies, vol 203. Springer, Cham. https://doi.org/10.1007/978-3-031-57931-8_27
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DOI: https://doi.org/10.1007/978-3-031-57931-8_27
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