Fast Co.Exist author, Schiller, details the work that Xinova inventor, Dr. Michael Manion, has been doing on behalf of Xinova customer, MLA Donor Company. The Smart Tattoo technology is being developed to help ranchers manage their herds and improve the quality of their product. Manion and his team at Keon Research are part of the Xinova network of scientists and innovators.
These Smart Tattoos Could Reveal When Cows Are Stressed
Technology could help farmers manage their herds and produce better quality meat.
It’s not easy for farmers to monitor the health of large herds of animals. From a distance, cows and sheep won’t necessarily show signs of being stressed, feverish, or pregnant. But if you can make their internal chemistry more visible—as a new “smart tattoo” aims to do—tracking livestock health may become simpler.
*Content and Image sourced from Fast Co.Exist
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Innovation thrives on the unimpeded exchange of ideas, talent and capital. We have built a trusted global network with an incentive system that shares upside among all participants. Xinova has developed this structure in its global innovation market network with innovators, technologies, investors and startups in over 120 countries with world-class capabilities in finding, assessing, licensing, and developing international technologies. By aligning talent, technology, capital and demand through the first-of-its-kind innovation market network, which utilizes machine learning, distributed computing and modern technology platforms, Xinova connects global innovation supply to project demand for global customers such as PepsiCo, Funai, and an array of small companies and governments around the world.
Xinova accelerates innovation end-to-end. With unique digital tools and unprecedented business intelligence, we are automating the process of innovation, de-risking and unblocking it to drive growth at all points of the innovation lifecycle. We’ve created networks supporting each pillar of innovation, complete with tools and proprietary organizational structures essential to a distributed model. The end result aligns and connects:
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