Page 197 - AI for Good-Innovate for Impact Final Report 2024

AI for Good-Innovate for Impact

UN Goals:

• SDG 2: Zero Hunger
• SDG 9: Industry, Innovation and Infrastructure
• SDG 11: Sustainable Cities and Communities 45 - OMACS

Justification UN Goals selection: SDG 2: by using digital twins and AI for achieving better
yields, also increasing the explainability and confidence in AI models for agriculture. SDG 9:
Industry, Innovation and Infrastructure: The project aligns with this goal as it involves innovative
use of technology (AI and 5G) to potentially transform industries and infrastructure using digital
twin technologies. SDG 11: Sustainable Cities and Communities: The application of AI in 5G
communications can contribute to creating digital solutions for sustainable urban development.

45�2�2 Future work

Proof of concept development, Model development, Create new variations/extensions to
the same use case, Standards development related to the use case, Setup reference tools,
notebooks and simulation environment Elaborate proposal: This project is already guided and
mentored under ITU ML5G initiatives.

45�3� Use case requirements

• REQ-01: Data Collection and Analysis - Gathering publicly available data relevant to
smart agriculture and digital twin applications. Analyze the current state of digital twin
applications in 5G.
• REQ-02: Sandbox Testing and Validation - Implement a sandbox environment that mimics
the real-world deployment conditions. Using the ITU-T Y.3172 framework to route data
to the digital twin for validation.
• REQ-03: xApp Development - Developing an xApp integrating AI models for yield
prediction in smart agriculture. Ensure the xApp is compatible with Open RAN architecture
and 5G network requirements.

45�4� Sequence Diagram

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