Saturday, April 6, 2013

Data Mining in Dairy Farming


I have already discussed the company mentioned in the first half of this article. However, I have not thought about big data uses in dairy farming which is what is focused on in the second portion of this article.

The Holstein bull Badger-Bluff Fannie Freddie is considered Americas best. He has fathered 346 dairy cows up to September of last year. The article goes on to explain that he is considered the best Holstein bull in the states because of his genetic makeup. The USDA analyzed approximately 50,000 different markers in his DNA that are supposedly related to better milk production and, based on what they found, proclaimed him to be the best bull for procreating good dairy cows. A post on the Sustainable America blog claims that “dairy breeding is a perfect field for quantitative analysis of the sort that machine learning algorithms can offer today. Taking vast amounts of data and scanning for key information is what these algorithms are created to do.” Italicized is basically the purpose and definition of data mining.

The post states that nearly 100 years ago dairy cows were only expected to produce around 5000 pounds of milk in a lifetime, while today that number is up to 21,000. This is the product of a century of selective breeding. Mining the massive amount of information DNA provides for the select markers of good milk production will enable dairy farmers to achieve a whole new level of breeding, thereby increase this average even faster.

Surely over the next few years, we will see data mining taking a much more prominent role not only in agricultural farming as expected, but in dairy farming as well.

2 comments:

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  2. Big Data is not just changing the face of worldwide mega-conglomerates; it’s changing the game back home on the farm as well. Where most dairy farmers in years past had to be up before dawn, these days, the early morning milking can be left to an automated system, which analyzes data from each individual cow. Special collars allow for data collection according to various categories, including weight, milk production, milk temperature, color, fat and protein content, and somatic cell count. Farmers are now able to obtain constantly updated data for quick analysis of the animals and what they’re producing, providing insight into how best to manage the farms while ensuring milk quality.
    Managing data related to cows isn't all that technology is bringing to farms and the food supply chain. Everything from warehouse management systems to inventory management software is allowing companies to transport, store and track products from farm to store shelves. Customers (and businesses) reap the benefits of a streamlined supply chain every single day, and from the looks of things, Big Data doesn't look to be slowing down its progress any time soon.

    Source: https://exploreb2b.com/articles/a-texting-cow-coming-soon-thanks-to-big-data

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