Ultimately, with sufficient of those things going and adding data to some central pool instantly, a neural network could be trained to look out for problems. That’s a part of Pooyanfar’s thesis work (happening).

Oldooz Pooyanfar, a graduate student at Simon Fraser College, produced the unit to enhance data collection and hopefully result in some understanding of colony collapse disorder, the mysterious affliction which has claimed many a hive.

“With this monitoring system, we’re collecting data instantly on which the bees are ‘saying’ about foraging, or maybe they’re swarming, or maybe the queen bee exists,Inches Pooyanfar stated inside a news release.

Pooyanfar’s ongoing jobs are funded through the Mitacs Accelerate program.

As everyone knows, the bee human population is declining in an alarming rate, even though the reasons are lots of, the solutions are couple of. At the minimum, beekeepers have to keep an additional-close eye on their own hives — which may be difficult when there’s a couple of 1000 of these. A Canadian investigator is focusing on a monitoring system that learns the excitement and passes on word if situations are going south.

It uses microphones and humidity and temperature sensors, and can eventually include accelerometers you mount it within the hive and it offers a superior a drone’s-eye look at the colony’s activity.

At this time the unit is made from off-the-shelf parts, so it’s a little bulky and costly, but it’s wished that the custom-manufactured sensor package might get the price lower. She’s dealing with local beekeepers to build up the software and hardware, and states there’s been a substantial amount of interest.

Featured Image: Simon Fraser College

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