This conference provides a rigorous platform for researchers, engineers, and policymakers to share cutting-edge contributions that address the fragmentation of proprietary agri-IoT silos and the challenges of deploying AI at the edge. We convene experts working in TinyML, federated learning, geospatial IoT standards, cybersecurity, and energy-harvesting sensor networks. The track emphasizes how intelligent, secure, and scalable architectures collectively generate richer, more actionable insights across the entire food value chain. We invite submissions that explore a wide range of IoT, AI, and connected systems research, including but not limited to:

Interoperability, Standards, and Spatiotemporal Analytics:
- Geospatial IoT Standards
- Interoperable Architectures for Agricultural IoT
- Standardized Data Models and APIs for Smart Farming

Artificial Intelligence of Things (AIoT) and Edge Intelligence:
- TinyML and On-Device AI for Agricultural Sensors
- Federated Learning for Privacy-Preserving Smart Farming
- Large Language Models (LLMs) for IoT Data Interpretation
- AI-Driven Predictive Maintenance for Farm Machinery

IoT Security, Privacy, and Trust:
- Cybersecurity for Agricultural IoT Infrastructure
- Blockchain and Distributed Ledger Technology in Agri-Food IoT
- Data Sovereignty and Governance in Agri-IoT

Connectivity, Energy, and Hardware Innovations:
- Energy Harvesting for Battery-Free Agricultural Sensors
- LPWAN, Satellite IoT, and 6G for Rural Connectivity
- Underground and Underwater IoT Sensing

Digital Twins, IoT, and Real-Time Farm Systems:
- Agricultural Digital Twins Architecture
- Real-Time IoT Data Integration for Digital Twins
- IoT-Enabled Farm Monitoring and Simulation