This project combines autonomous sensing, artificial intelligence and environmental monitoring to deliver continuous, real-time insights into pest activity. By integrating smart cameras, environmental sensors and cloud-based analytics, the system enables more targeted, timely and data-driven pest management decisions for Australian grain growers.
Collaborators
This project was delivered in collaboration with the Adelaide University (AU), South Australian Research and Development Institute (SARDI), and the Grains Research and Development Corporation (GRDC).
The Challenge
Managing pest snail populations requires continuous, remote monitoring of field activity alongside complex environmental variables like barometric pressure, rainfall, and soil moisture.
Our Solution
Engineered and operated the "Snail Sentinel" system for three successful years. The technology integrates automated, LED-illuminated movement detection cameras, environmental sensors, solar-power, satellite cloud backhaul, and computer vision AI to remove image noise and identify target pests.
The Impact
Delivers near real-time tracking of snail activity and automated, user-friendly alerts directly onto a cloud dashboard, allowing land managers to make highly targeted, data-backed pest mitigation choices.