2 CapitalPress.com Friday, January 28, 2022 Idaho Innovators Artifi cial intelligence IDs insects By BRAD CARLSON Capital Press Artifi cial intelligence promises to make identify- ing insects faster and eas- ier, the University of Idaho’s Marek Borowiec and his research teammates believe. USDA’s National Insti- tute of Food and Agriculture agreed. In April, the institute awarded Borowiec’s team a Cyberinformatics Tools grant for $499,500. The project, aimed at har- nessing artifi cial intelligence to identify insects, will aid integrated pest management in small-grain production. “The motivation here is essentially to make the pro- cess a little bit more effi - cient and easier for growers, and potentially the exten- sion researcher or educa- tor,” Borowiec said. “We want to come up with a sys- tem that will assist in iden- tifying, correctly document- ing and sharing information about pests.” Successful IPM hinges on correct insect identifi ca- tion. But since it requires time and expertise, many growers forgo it and apply pesticides unnecessarily. Immediate insect identi- fi cation and classifi cation is one element of the planned system. Information shar- ing via a free mobile app Cereal grass aphids. MAREK BOROWIEC Title: Assistant professor, entomology, plant pathology and nematology, University of Idaho. Education: Bachelor’s and master’s degrees, University of Wroclaw, Poland; Ph.D., University of California-Davis. Courtesy of Aryn Baxter Marek Borowiec is working on a new system that will allow farmers to quickly and easily identify insects. is another. It will focus on the Inland Northwest but be designed so it can be extended to other regions. Borowiec, an assistant professor of entomology, plant pathology and nema- tology, said growers would immediately be able to see the correctly identifi ed insect, follow what other farmers in their region are experiencing, access online resources and connect with specialists. Now, when they see an unfamiliar insect on a crop they have to contact a uni- versity extension agent or other researcher. He said smartphones, online alert networks and information portals help but require iden- tifi cation, documentation and other steps that can take time. The artifi cial intelligence is “basically the capacity to attach a certain name or clas- sifi cation to a photograph,” feasible for computers only in the past four to fi ve years. The problem is complex since a photo includes many variables, ranging from angle and background to the subject’s size, position and distance. Researchers will collect images of insects on cere- als and legumes. The images will be used to “train” an arti- Age: 36 Hometown: Moscow, Idaho. Family: Engaged to Aryn Baxter, lecturer on education in leadership for organizations, University of Dayton. Hobbies: Outdoor activities including hiking, trail running, skiing. Research team: Arash Rashed, Sanford Eigenbrode and Lucas Sheneman, and postdoctoral researcher Subodh Adhikari. fi cial-intelligence algorithm. For example, photos of cereal grass aphids — an important emerging pest, Borowiec said — and the English grain aphid were used to “train” a preliminary METAL BUILDINGS! BUILDINGS! 52 53 Years of Manufacturing Manufacturing Excellence Excellence Buy Factory Factory Direct! Direct! Equipment Storage • Shop • Barn Hay Shed • Dairy Shade • Arena Roofing, Siding, & Trim • CUSTOM BUILT FLATBEDS Call Today! • RUGBY RANCHER FLATBEDS - IN STOCK! • SERVICE BODIES • DUMP BEDS R&M Steel Co. • TOOLBOXES • RECEIVER HITCHES • GOOSENECK HITCHES • TRAILER SERVICE AND REPAIR • TRUCK ACCESSORIES www.rmsteel.com sales.rmsteel@gmail.com S274187-1 S258252-1 208-454-1800 www.canyontruck.com 15881 Robber Place, Caldwell, Idaho 83607 208-459-0646 version. “You have to have lots of examples of these pests in photos so it can learn the important features,” he said. Later in the four-year project, researchers will design the free identifi cation and analysis tool, get feed- back from stakeholders and work on improvements. “On a parallel track, we plan to collect more data and more images to make the ID algorithm work better and make the interface friendly to users,” Borowiec said. An advisory board to include cereal crop grow- ers and possibly commodity commission representatives is planned. The system “has the potential of being as accu- rate or more accurate than a human expert, with a frac- tion of the time needed for making a determination,” he said. It aims to enable farm- ers to more quickly opti- mize pesticide management decisions. “The idea is to not have to work as hard to improve your decision process, be more likely to make a good decision, and even save some money,” he said. This story fi rst appeared May 21, 2021. 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