Siri and Alexa already help you find your keys and remember friends’ birthdays. So maybe it’s not such a stretch that they could also also manage a few hundred cattle.
Computer scientists and dairy experts at the University of Wisconsin-Madison and the UW Extension are collaborating to create a suite of computer programs that can help with dairy farming — a “virtual brain” that uses artificial intelligence to help farmers with day-to-day decision-making.
According to Victor Cabrera, a UW-Madison dairy science professor and the project’s principal investigator, modern farms are already equipped with sophisticated data-collecting technology. Cows wear sensors that can track heat and motion, giving farmers insight into whether a cow may be in heat or ill. Soil and crop monitoring systems influence feeding decisions. Milking robots keep track of which cows are fidgety, whether a cow’s udders are healthy, the composition of the milk a cow produces.
Integrating the different streams of data would be the first step. Then, the challenge would be to fuse prior research on agricultural data with machine learning — in other words, computer programs that have been taught to adapt based on new information — to create artificial intelligence systems that can assess that data in real time.
That AI could provide insights to help farmers in all kinds of ways, said Cabrera. Consider reproductive decisionmaking, he said. When it comes to selecting animals to breed, farmers have to use their old-fashioned human brains to consider multiple sources of data, from semen quality to a cow’s market value to a heifer’s fertility.
“In a farm brain, it should be able to do that on the fly,” he said.
Source: The Cap Times
