<?xml version="1.0" encoding="UTF-8"?><item href="/news/decoding-crop-genetics-with-artificial-intelligence.aspx" dsn="blogs"><homehero/><unit>Faculty &amp; Staff,Research,CMSE,College of Natural Science,Plant Biology</unit><pubDate>07/13/2021</pubDate><title>Decoding crop genetics with artificial intelligence</title><description><p>We live in a time when it’s never been easier or less expensive to sequence a plant’s complete genome. But knowing all of a plant’s genes is not the same thing as knowing what all those genes do. MSU experts in plant biology and computer science plan to close that gap with the help of artificial intelligence and a new $1.4 million NSF grant. Ultimately, the goal is to help farmers grow crops with genes that give their plants the best chance to withstand threats such as drought and disease.</p></description><author/><hero-image><img src="https://natsci.msu.edu/sites/_natsci/cache/file/95296200-87CE-49DF-93A3F8FE65147C53_newsarticlehero.jpg" alt="Hero image"/></hero-image><image><img src="https://natsci.msu.edu/sites/_natsci/cache/file/95296200-87CE-49DF-93A3F8FE65147C53_medium.jpg" alt="Hero image"/></image><tags><tag>Agricultural Sustainability</tag><tag>Artificial Intelligence</tag><tag>NSF</tag><tag>crop genetics</tag><tag>faculty</tag><tag>research</tag></tags></item>