Challenges in Developing a Real-Time Bee-Counting Radar

Challenges in Developing a Real-Time Bee-Counting Radar

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Detailed within is an attempt to implement a real-time radar signal classification system to monitor and count bee activity at the hive entry.There is interest in keeping records of the productivity of honeybees.Activity at the entrance can be a good measure of overall health and capacity, Bird Baths and a radar-based approach could be cheap, low power, and versatile, beyond other techniques.

Fully automated systems would enable simultaneous, large-scale capturing of bee activity patterns from multiple hives, providing vital data for ecological research and business practice improvement.Data from a Doppler radar were gathered from managed beehives on a farm.Recordings were split into 0.

4 s windows, and Log Area Ratios (LARs) were computed from the data.Support vector machine models were trained to recognize flight behavior from the LARs, using visual confirmation recorded by a camera.Spectrogram deep learning was also investigated using the same data.

Once complete, this process PROTEIN BERRYLICIOUS would allow for removing the camera and accurately counting the events by radar-based machine learning alone.Challenging signals from more complex bee flights hindered progress.System accuracy of 70% was achieved, but clutter impacted the overall results requiring intelligent filtering to remove environmental effects from the data.