Introduction
Modern agriculture increasingly depends on sensors, connected machinery, cloud platforms and digital supply chains. QSD research explores scalable crypto-agility for constrained IoT devices, machine identities and supplier ecosystems where replacement cycles and connectivity vary widely.
2026 Research Context
Connected agriculture increasingly depends on cloud platforms, telemetry, GNSS-linked equipment, sensors, autonomous machinery and digitally managed supply chains. At the same time, CRA implementation is pushing manufacturers toward stronger lifecycle security for products with digital elements. PQC research in this sector therefore needs to look beyond data encryption to software authenticity, device identity, remote maintenance and supplier-managed trust. The practical objective is a transition model that remains viable for bandwidth-constrained devices and equipment expected to stay in service for many years.
Research Focus
- IoT device identity and secure onboarding
- Firmware and software-signing resilience
- Telemetry and cloud API protection
- Supply-chain trust and third-party dependency mapping
- PQC options for constrained devices and gateways
Expected Research Outputs
- Agritech threat models
- IoT transition patterns
- Supplier readiness criteria
- Reference architectures
- Q-TR agriculture asset taxonomy
Standards & Sector Context
NIS2 context where applicable · IoT security practices · NIST PQC standards
Collaboration Model
QSD is open to collaboration with agri-tech providers, food and agricultural supply-chain organisations, IoT vendors and research institutes. Projects can examine low-power device constraints, remote lifecycle management, sensor and gateway trust, product traceability and cryptographic risk across distributed value chains.