Trapview Automated Pest Monitoring System
Trapview utilises innovative technology to provide a simplified solution to monitoring insect populations.
Automated Smart Trap
Energy independent and weather resistant traps capture images of lured pests.
Insect images are interpreted and archived by powerful analytical tools.
Access via multiple devices allows a rapid response to the situation in the field.
Trapview is a fully integrated system that provides an innovative, simplified solution with clear benefits for growers, agronomists and researchers needing reliable and near real-time visual insight into insect populations.
- Automated pheromone traps capture images and use digital recognition to determine the number and type of lured pests
- Data is sent via GPRS network for processing and secure archiving
- Analysis of the situation is delivered to desktop and mobile devices in near real-time
- Users are able to determine a solution with optimised insecticide selection and application timing.
An innovative approach to pest monitoring for smart farming.
Trapview is a complete monitoring solution that provides a clear indication of pest occurrences in traps located across remote sites without the need for users to be physically present in the field.
- Data capture intervals are adjustable and can be shortened without raising the cost of field inspections
- Trapview provides valuable feedback on the effectiveness of mating disruption programs and alerts users to the need to change sticky trap inserts
- The analytical features of Trapview allow quick evaluations regarding the accuracy of daily predictions from phenology models and gathered data can be compared over time
- More than 30 different species presently being lured and automatically monitored, marked and logged within the Trapview system
- Users can manually mark other trapped pests after initial detection and the system will ‘learn’ to identify and ignore them in future reporting
- Temperature and Humidity are also measured and data can be modelled against set Degree Day parameters to predict pest cycles.