<?xml version="1.0" encoding="UTF-8"?><item href="/news/cutting-edge-sherlock-app-will-make-fish-sleuthing-a-snap.aspx" dsn="blogs"><homehero/><unit>Faculty &amp; Staff,Research,College of Natural Science,Integrative Biology</unit><pubDate>09/24/2021</pubDate><title>Cutting-edge SHERLOCK app will make fish sleuthing a snap</title><description><p>Regulation, monitoring and enforcement of sustainable seafood harvest is difficult and hinges on the ability to correctly identify species that, on the surface, look extremely similar. Some species are almost impossible to distinguish based on appearance, while at other times customs officials may only have a fin to go on. That’s about to change. Starting this September, scientists from Michigan State University, and collaborating institutions will harness the power of genomics and an AI powered smartphone app to develop low-cost, rapid field-deployable species identification tools that will give fishers, fisheries, agency biologists, customs officials and seafood vendors the power to become their own piscatorial gumshoes.</p></description><author/><hero-image><img src="https://natsci.msu.edu/sites/_natsci/cache/file/86913136-F811-4587-845E7E8D4D7F7E3A_newsarticlehero.jpg" alt="Hero image"/></hero-image><image><img src="https://natsci.msu.edu/sites/_natsci/cache/file/86913136-F811-4587-845E7E8D4D7F7E3A_medium.jpg" alt="Hero image"/></image><tags><tag>NSF Convergence Accelerator grant</tag><tag>faculty</tag><tag>fish species indentification app</tag><tag>research</tag><tag>sustainable fishing</tag></tags></item>