Ashley Perepelkin says she was born and raised a city girl, never thinking she鈥檇 sell fresh beef from cattle she raised on her own Alberta farm with the help of artificial intelligence.

鈥淚 met a boy, and this boy happened to be a farmer,鈥� she says.

Perepelkin, who spent most of her life in Red Deer, Alta., says she and her now-husband Andrew met in 2010, got married and began farming grain together.

When she decided to get cattle, it was a steep learning curve.

鈥淎 lot of things were learned, unfortunately, through trial and error,鈥� she says.

Perepelkin says she enrolled in a continuing education course through Olds College of Agriculture and Technology in Olds, Alta. That鈥檚 when she saw a video about what AI could do for farmers, and became excited.

鈥淓mployees are expensive, especially 鈥� when you don鈥檛 exactly know what you鈥檙e looking for at the beginning,鈥� she says.

鈥淚t鈥檚 hard to train somebody.鈥�

The Perepelkins can monitor their cattle鈥檚 health, activity, nutrition and growth though cameras, thanks to facial recognition technology for animals called 360 Live ID, a platform developed by a startup called OneCup AI.

OneCup AI is the creator of Bovine Expert Tracking and Surveillance, or BETSY. CEO Mokah Shmigelsky says the technology has been on the market since 2022, and there are now 140 setups across Canada.

鈥淪o far our producers have been very excited about our system, and offering consistent feedback so that we can improve their user experience,鈥� she says.

Shmigelsky, who grew up near Calgary, says her extended family has been involved in ranching and farming for a long time.

She says the idea for BETSY came about when she and her husband were sitting around a campfire at a family reunion in Saskatchewan, discussing the 鈥減ain points鈥� in the cattle industry.

She says a cousin talked about wanting to identify cows without having to use tags and asked if it could be done using computers and cameras.

Shmigelsky鈥檚 husband, Geoff, who she says is the brains behind OneCup AI, responded that identifying cattle using AI would be no problem. That鈥檚 when they developed the system and tested it on their relatives鈥� cattle.

鈥淲hen BETSY sees an animal that鈥檚 calving, she鈥檒l send a text message to the producer,鈥� she says.

Perepelkin says her herd of 100 don鈥檛 start calving until January or February. She brings the animals into a closer pen around the end of December.

鈥淎t that point, (the cameras) will visually see their bedding packs, where I put straw out for the cows to sleep.鈥�

Perepelkin says a maternity pen is equipped with another BETSY camera that oversees its entire area.

She says instead of getting up every three or four hours in the evening to check if her cows are calving, she receives text messages, and can view the cameras through her phone or computer. The cameras watch for signs such as contractions to determine if a cow is about to give birth.

Perepelkin says BETSY can distinguish between two cows having babies side-by-side.

鈥淚f the cows did switch babies, we can switch them back and rectify the problem.鈥�

In November, BETSY won OneCup AI the business of the year honour at the Animal AgTech Awards at the Canadian Western Agribition in Regina.

Perepelkin says a lot of what farmers and ranchers do comes down to experience and time.

鈥淎s everybody knows, time costs money, right?鈥�

Perepelkin says she knew her farm could be better if she only had an extra set of hands when calving out cows and detecting if one is injured or sick.

鈥淚t鈥檚 a little hard to explain if you鈥檙e not familiar yourself with cows and how they show some signs and symptoms of things.鈥�

Perepelkin says cows make a certain shape to their tail when they are contracting, but it鈥檚 similar to when they鈥檙e urinating or defecating.

鈥淭hat has probably been the hardest jump for (OneCup AI) to get past, is to identify the difference from to the other,鈥� she says.

Shmigelsky says dairy farmers are not only interested in calving alerts, but alerts when cows are in heat and are ready to breed.

鈥淵ou want to get those animals bred in an optimal window, essentially.鈥�

She says there should be enough camera coverage for where the animals are located, and that most places have four to six cameras depending on how many animals and pens they own.

Perepelkin says she also started selling meat right from the 鈥渇arm to table鈥� about five years ago.

鈥淚t absolutely blew the grocery store out of the park,鈥� she says.

She says she began providing meat to her urban friends and relatives.

鈥淕rowing up in the city, they never got to experience the farm-fresh beef.鈥�

The business has expanded into pepperoni, ground beef, smokies, sausages, steaks and roasts, and the Perepelkins hope to make a storefront on their property someday soon.