Shirosh also spoke of other, more industrial uses, of Azure machine learning. For instance, Fujitsu has built a system using Azure to help Japanese farmers predict the best time to get dairy cows impregnated after they go into heat, which would help them breed the cows more efficiently.
Each cow is equipped with a sensor on one of its legs. Like a bovine Fitbit, the device records how many steps each cow takes in a given day. Females cows who are about to go into heat tend to walk around a lot more than usual. The sensor data is transmitted to Azure, which then can identify the perambulating cows, and send alerts back to farmer identifying those that might be in heat.
The age old method of detecting a fertile cow, by close observation, has only been 33 percent, but the automated procedure can bump that up to 95 percent, Sirosh said.
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