In-Situ VOC and Stress Detection for Systems-Based Pest Risk Management

Our technology is a novel solution for the early detection of plant stress and pest-related signals using ultra-miniaturised, in-situ spectrometers and soil analysers.

These sensors enable real-time monitoring of volatile organic compounds (VOCs) and key soil parameters, providing early warning of pest infestations and plant health issues. The system is based on:

• Miniaturised, drone-deployable sensors designed for autonomous field deployment

• Advanced nanomaterials (2D c-MOFs) for high-sensitivity VOC detection

• AI-powered decision support tools for interpreting sensor data and guiding interventions

• A “farm-to-fork” traceability framework to support phytosanitary compliance across the agri-food chain

The technology is currently at TRL 3/4 and ready for scale-up and validation in real agricultural environments. It supports a systems-based approach by integrating early detection, predictive analytics, and sustainable pest management strategies.

We are looking for a consortium including partners with expertise in:

• Field testing and crop monitoring

• Phytosanitary regulation and pest risk management

• AI and data analytics

• Sensor integration and agri-tech commercialisation