
This Learning Object is part of Master AGRITECH EU – Digital Agriculture for Sustainable Development, an Italian one-year specialisation programme organised by University of Pisa, University of Macerata, National Research Council (CNR) and Quinn Consortium (Consorzio Quinn)
For more information about the programme and to enroll here
It is possible to enroll for the whole programme or for the single Learning Object (Module) you are interested in
Module details
The module introduces the key computing paradigms shaping modern agriculture, including cloud and edge computing, high-performance computing (HPC), and blockchain technology. Students will also examine cybersecurity challenges in connected agricultural environments, and explore the growing impact of Artificial Intelligence across these computing infrastructures.
Proposer: University of Pisa (UNIPI)
Organization: University of Pisa (UNIPI), National Reasearch Council (CNR), University of Macerata (UNIMC)
Duration: 8h
ECTS: 5
Shortcut access code: No
Year of pubblication: 2026
Topics
Tags: artificial intelligence, cloud and edge computing, HPC, NodeRED
Subject areas: Communication and Cyber-physical Systems, Computing
Delivery methods: On Line
Teaching methods: Lectures, Working Group
Languages: English
Learning objectives
- Introduction to the fundamentals of cloud computing
- Edge computing
- Blockchain
- Cybersecurity
- HPC and the impact of AI in this field.
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Developing data communication paradigm
Programming and Data Visualization for Satellite Rain Monitoring
Description: Basics of programming using Javascript, Flow-based programming with NodeRED,Data processing and visualization.Insights about rain measurement based on satellite signals: data collection process and practical devicesDuration: 8hTeacher: La Rosa (CNR), Giannetti (DII - Department of Information Engineering)Delivery method: On LineTeaching method: Lectures, Working Group
