Facial recognition for cows is a Cargill thing now…

Cargill and Cainthus photo

Cargill is backing an Irish startup that uses facial recognition software to help increase the productivity of dairy cows, the latest move by the largest closely held U.S. company to bolster its agricultural-technology efforts.

Cargill has taken a minority stake in Cainthus, which harnesses machine-learning and imaging techniques to identify cows and glean information on everything from their behavior to appetite, David Hunt, president and co-founder of Cainthus, said in a telephone interview Wednesday…

Hunt said Dublin-based Cainthus chose Cargill over venture capital firms because of the U.S. company’s footprint in agriculture. Cargill is still owned by the same family that founded it 153 years ago and it’s one of the world’s largest crop traders and meat producers.

Most farmers in my extended family don’t farm on a scale that would require recognition software to aid productivity. Those with any four-footed critters on the farm know them by their first name. But, of course, I can understand the problem for larger farms and, of course, factory-style farming.

Will Cargill also take the lead in the next logical advance? Eliminate the need for humans to run the farm, run the machinery, deal with harvesting crops – whether animal or vegetable?

4 thoughts on “Facial recognition for cows is a Cargill thing now…

  1. Agriculturist says:

    Farm of the future in “The Future World of Agriculture” (Walt Disney World EPCOT Center book), published in 1984. https://i.kinja-img.com/gawker-media/image/upload/s–qYXjqGOm–/c_fit,fl_progressive,q_80,w_636/18qibiezx6i9zjpg.jpg “The farmer in this artist’s conception of a farm of the future sits in his computer room (right), studying images of his fields beamed down from a small Landsat satellite. The red spots on the screen indicate crop stress that needs to be corrected. With the aid of his computer, which processes the data and suggests a solution, the farmers solves the problem. Robots in the field (one is seen at far left) take the corrective action ordered by the farmer. At center, the farmer’s wife and child talk to the operator of a huge farm machine used for plowing and planting.”
    See also “The Surreal Sci-Fi Farms That Grow Most of Our Food” https://www.wired.com/2014/12/surreal-sci-fi-farms-grow-food/ and http://www.technovelgy.com/ct/Science_List_Detail.asp?BT=Agriculture

  2. Roberto says:

    Every year, more cows are milked by robots. https://grist.org/briefly/every-year-more-cows-are-milked-by-robots/ The machines used to be cumbersome and prone to failure, but the newer models really work. They feed cows, milk them, clean them, and carefully monitor their health. According to Bloomberg, robots are staged to surge into dairies in coming years. https://www.bloomberg.com/news/articles/2018-01-30/thanks-to-trump-more-u-s-milk-will-be-coming-from-robot-labor

  3. Jr. Crimestopper says:

    Facial recognition found Capital Gazette suspect among 10M photos : Public Safety official says it’s a “valuable tool for fighting crime in our state.” https://arstechnica.com/tech-policy/2018/06/maryland-cops-facial-recognition-to-id-capital-gazette-shooter-worked-well/ Maryland authorities used their facial recognition capabilities to identity Jarrod Ramos, the suspect in the Capital Gazette shooting, which left four journalists and one newspaper sales associate dead on Thursday. When he was apprehended at the scene of the horrific crime in Annapolis, Ramos had no identification and seemingly would not speak to police. Investigators then appeared to have taken a mugshot or some other similar type of photo and fed it into the state’s Maryland Image Repository System (MIRS). That database contains approximately 10 million driver’s license images and mug shots, according to documents released by Georgetown University researchers. The result, according to the Baltimore Sun, was a hit for Jarrod Ramos, a 33-year-old man from Laurel, Maryland who apparently had a years-long grudge against the local newspaper.
    Civil liberties groups have argued that such programs invade the right to privacy, and some put the technology in the same category as cellphone tracking and aerial surveillance. Its use drew scrutiny after the database was used to monitor protesters during the rioting in Baltimore in 2015 after Freddie Gray’s death.
    Maryland’s system has been considered more advanced than those of other states because of the vast number of images available, including more than 10 million from the Maryland Motor Vehicle Administration, mug shots and other photographs of arrestees. Some states provide only driver’s licenses, and other states have prohibited the use altogether. http://www.capitalgazette.com/news/for_the_record/bs-md-facial-recognition-suspect-identity-20180629-story.html

  4. Freedom is Slavery says:

    Documents obtained through a Freedom of Information Act filing by the Project on Government Oversight (POGO) show that Amazon’s government sales unit was actively seeking to provide the Department of Homeland Security Immigration and Customs Enforcement (ICE) Homeland Security Investigations with Rekognition, the controversial facial recognition system. The pitch was part of a larger discussion of Amazon Web Services offerings to ICE HSI, an offering including artificial intelligence algorithms and predictive analytics.
    Amazon has provided cloud services to DHS in the past, including US Citizenship and Immigration Services (USCIS). https://arstechnica.com/information-technology/2018/10/amazon-pitched-its-facial-recognition-to-ice-released-emails-show/ See links

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