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Seed grants boost Iowa State animal, plant research projects

Seed grants boost Iowa State animal, plant research projects

Michigan State study to examine swine industry trends

Andrew Sacks/Getty Images SWINE RESEARCH: With a $1 million grant, MSU will explore precision livestock needs, public perceptions, and the willingness of farmers, producers and consumers to pay for new technology. With a $1 million grant, the university will explore precision livestock needs. Apr 21, 2021 With a recently awarded a $1 million USDA-NIFA Agriculture and Food Research Initiative grant, Janice Siegford, Michigan State University Department of Animal Science researcher, is leading a team of researchers and Extension agents to study the advancement of precision farming in the U.S. swine industry. Beginning in June, the group will start to explore precision livestock needs, public perceptions, and the willingness of farmers, producers and consumers to pay for new technology. The end goal is to determine how new technology is viewed by the swine industry at large, with respect to what is practical and useful for farmers and consumers.

MSU leads effort to improve computer vision systems

Andrew Sacks/Getty Images DATA COLLECTION: The MSU Swine Teaching and Research Facility will be one of the locations where researchers will collect new computer vision data. The project will use a multidisciplinary network of researchers in animal science, computer science and engineering. Mar 12, 2021 A team of international researchers led by Michigan State University has received a five-year, $1 million grant from USDA s Data Science for Food and Agricultural Systems program, a component of the National Institute of Food and Agriculture. One of the main priorities of the DSFAS program is the formation of coordinated innovation networks that solve critical problems in food and agriculture production. The newly funded, MSU-led project is aimed at establishing a multidisciplinary network of researchers in animal science, computer science and engineering to improve computer vision systems in precision livestock farming.

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