Reliable pest control is essential for proper protection of palatable vegetation and protected species. Existing monitoring methods are largely based on blind traps, offline detection devices, and supervised post-surveillancing, however a low-cost, automated approach in real time may be a much more desirable compromise subject to its robustness.
The aim of this project is to investigate the feasibility of detecting and identifying common pests using images or data captured from a low-powered system and transmitting the result wirelessly to a base station in real time.
Undergraduate
None
Lab allocations have not been finalised