The Dutch company proposes to recognize sick cows with the help of fitness trackers

<pre>The Dutch company proposes to recognize sick cows with the help of fitness trackers

Any experienced farmer will say that there is no need to lead a cow to a costly inspection by a veterinarian – a sick animal and so is seen. He eats poorly, walks slowly, looks piteously, mournfully moans, and so on. The authors of the Dutch startup Connecterra decided to replace the subjective perception with exact measurements and developed a system for early diagnosis of diseases in cows by their behavior.

The source of information about the state of the drill is a modified fitness tracker that is based on the open platform Google TensorFlow. It is attached to the neck of the animal and constantly measures the body temperature of the cow, the rate of its movement, the frequency and duration of stops, the duration of meals, the movement of jaws chewing gum, etc. In a word, all the physical activity of the individual, comparing it with the data for the past days and analyzing the state of the cow.

Yasir Hohar, ex-Microsoft partner and chief executive of Connecterra, says: they can detect the fact of the disease 24-48 hours before the appearance of visible symptoms. And with the proper organization of care for cows, this will give a 20-30% increase in the efficiency of farm labor. Is not it worth it to shell out $ 80 for each tracker and another $ 3 a month for network maintenance? Of course, no, the cattlemen answer.

“I can recognize the disease simply by looking at the cow in the eye,” says the authoritative British farmer Mark Rogers. “Because people breed cows for 7,500 years and without any electronics.”

Automating the collection of herd data will help the business, it's a fact, but if young cattlemen rely on digital technology, they will lose the experience of generations of their profession. And they will become hostages of electronic toys and credit organizations, while cows will remain cows – they will eat grass and give milk, as they were thousands of years ago.

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