Once crops such as sugar beets, potatoes, vegetables, corn, grain, wheat, etc., are harvested, they become susceptible to decay due to various environmental conditions and potential damage during harvest, transport, or storage. It's vital to detect the onset of decay, usually indicated by a temperature rise within the stored pile, and take timely action.
Enter CropSave, the solution to all your stored crop monitoring needs. The kit consists of hardware and software components with a web monitoring app built on the Thingsboard CE IoT platform.
CropSave kit consists of Thermal probe, a base station and a web application
Web application analyzes weather condition data at the monitoring site and measurement data from devices located at the monitoring object.This allows for the taking of preventive measures to avoid crop loss.
CropSave is Protectedfrom harsh conditions and human error
Developed in-house, the low-power LoRaWAN devicesoffer wide-area coverage.
The polypropylene probes are crack-proof, resistant to temperature drops and high humidity.
Risks of theft
Accelerometer detects any unwanted movements and alerts the owner in case of theft.
Big volumes of crop
Each probe is made of several 1-meter segments for monitoring at various depths.
A flexible yet sturdy nozzle ensures smooth installation into crop piles without damaging the products.
Track temperature trends inside the storage and outside from weather stations or the non-immersed part of the thermal probe.
Immediate alarms displayed in the app when any specific area's temperature rises faster than the surrounding ambient temperature.
Includes GPS for precise location tracking and an accelerometer for theft detection.
Thanks to the LoRaWAN standard, ensuring data transmission even in areas with limited communication options.
Robustness & Longevity
Dust-resistant, water-resistant, and mechanically robust thermal probes powered by Li-SoCl2 batteries.
The kit can be customized to be integrated with your software; we can add sensors, extend the solution’s functionality, add analytics, etc.