Using TensorFlow to keep farmers happy and cows healthy

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A wide range of materials have been published in newspapers. In addition to news,Using TensorFlow to keep farmers happy and cows healthy ,information and opinions expressed above, including weather forecasts; Criticism and reviews Arts (including literature, film, television, theater, art, and architecture) and local services such as a restaurant; obituaries, notices of birth and graduation announcements; Entertainment features such as crossword puzzles, horoscopes, editorial cartoons, jokes, cartoons and comics; Advice column, food, and other columns; and a list of radio and television (program schedule). In the year 2017, newspapers can also provide information about new movies and TV shows available on streaming video services such as Netflix. The newspaper has been classified ad section in which people and businesses can buy a small ad to sell goods or services; In the year 2013, a large increase in internet sites to sell goods, such as Craigslist and eBay have caused ad sales are much less classified for newspapers.Using TensorFlow to keep farmers happy and cows healthy Since 1983, it has been known mainly because of its annual report and rankings that influence in college and grad school, lies in most fields and subjects. U.s. News World Report is and academic institution is the oldest and most famous in America, [5] and covering the areas of business, law, medicine, engineering, social sciences, education and public affairs, in addition to many other areas. Print Edition] has consistently included in the list of national bestsellers, coupled with online subscriptions. Additional rankings published by U.s. News World Report and includes hospitals,Using TensorFlow to keep farmers happy and cows healthy, medical and specialty cars.
Using TensorFlow to keep farmers happy and cows healthy-News of the United States was founded in 1933 by David Lawrence (1888-1973), which also started the World Report in 1946. The two magazines are covering national and international news separately, but Lawrence combines them into news reports of U.S. in World and 1948 [1] and Later sold the magazine to its employees. Historically, this magazine tends to be a bit more conservative than the two main competitors, Time and Newsweek, and focus more on the story of economic, health, and education. It's also distancing news, entertainment and sports celebrities. [2] an important milestone in the history of the beginning of the magazine is including the introduction of the "Washington Whispers" column in 1934 and the column "News You Can Use" in 1952. [3] [4] in 1958, the circulation of the weekly magazine passed one million and two million in 1973. (wikipedia) Using TensorFlow to keep farmers happy and cows healthy

Editor’s Note: TensorFlow, our open source machine learning library, is just that—open to anyone. Companies, nonprofits, researchers and developers have used TensorFlow in some pretty cool ways, and we’re sharing those stories here on Keyword. Today we hear from Yasir Khokhar and Saad Ansari, founders of Connecterra, who are applying machine learning to an unexpected field: dairy farming.


Connecterra means “connected earth.” We formed the company based on a simple thesis: if we could use technology to make sense of data from the natural world, then we could make a real impact in solving the pressing problems of our time.


It all started when Yasir moved to a farm in the Netherlands, near Amsterdam. We had both spent many years working in the technology industry, and realized that the dairy industry was a sector where technology could make a dramatic impact. For instance, we saw that the only difference between cows that produce 30 liters of milk a day and those that produce 10 liters was the animal’s health. We wondered—could technology make cows healthier, and in doing so, help farmers grow their businesses?


That thinking spurred us to start working weekends and evenings on what would eventually become Ida—a product that uses TensorFlow, Google’s machine learning framework, to understand and interpret the behavior of cows and give farmers insights about their herds’ health.


Ida learns patterns about a cow’s movements from a wearable sensor. We use this data to train machine learning models in TensorFlow, and ultimately, Ida can detect activities from eating, drinking, resting, fertility, temperature and more. It’s not just tracking this information, though. We use Ida to predict problems early, detecting cases like lameness or digestive disorders, and provide recommendations to farmers on how to keep their cows healthy and improve the efficiency of their farms. Using these insights, we're already seeing a 30 percent increase in dairy production on our customers’ farms.


By 2050, the world will have 9 billion people, and we need a 60 percent increase in food production to feed them. Dairy farmer assistance is just one example of how AI could be used to help solve important issues like this. And at Connecterra, by using AI to create solutions to big problems, we think technology can make a real impact.



by Saad AnsariConnecterra via The Keyword

Title :Using TensorFlow to keep farmers happy and cows healthy
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