**AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** CORRECT PEST IDENTIFICATION IS CRUCIAL FOR SUCCESSFUL IMPLEMENTATION OF INTEGRATED PEST MANAGEMENT IN AGRICULTURE. UNFORTUNATELY, IDENTIFICATION REQUIRES EXPERT CONSULTATION AND IS TIME CONSUMING. AS A RESULT, MANY PESTICIDE APPLICATIONS ARE MADE UNNECESSARILY, WITH ASSOCIATED ENVIRONMENTAL AND ECONOMIC COSTS, OR FAIL TO BE MADE DESPITE BEING JUSTIFIED. THE GOAL OF THIS PROJECT IS TO DEVELOP AI-BASED DECISION SUPPORT SYSTEM (DSS) FOR PESTS OF THE INLAND PACIFIC NORTHWEST SMALL GRAIN SYSTEM. THIS DSS WILL ALLOW FARMERS AND OTHER STAKEHOLDERS TO IDENTIFY PESTS BY TAKING A CELLPHONE PICTURE AND UPLOADING IT TO A MOBILE APPLICATION.