**AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** AGROECOSYSTEMS IN THE UNITED STATES FACE MAJOR THREATS BY INVASIVE PESTS INCLUDING INSECTS, WEEDS, AND PLANT DISEASES. MANY INVASIVE PESTS HAVE CAUSED DAMAGES WHICH ARE OFTEN IRREVERSIBLE WITHOUT ACCURATE MANAGEMENT OF THE THREAT IN A TIMELY MANNER. THE ECONOMIC, ENVIRONMENTAL, AND SOCIAL IMPACTS OF INVASIVE SPECIES ON AGRICULTURAL PRODUCTION, NATIVE BIOTA, PROPERTY VALUES, AND TOURISM WERE ESTIMATED TO BE APPROXIMATELY $120 BILLION PER YEAR IN THE UNITED STATES. TO ADDRESS INVASIVE SPECIES ISSUES, THE NATIONAL INVASIVE SPECIES COUNCIL SPECIFICALLY EMPHASIZES EARLY DETECTION AND RAPID RESPONSE (EDRR) TO THE BIOLOGICAL INVASION, WITH THE GOAL OF INCREASING THE LIKELIHOOD THAT LOCALIZED INVASIVE POPULATIONS WILL BE FOUND, CONTAINED, AND ERADICATED BEFORE THEY BECOME WIDELY ESTABLISHED.EFFECTIVE INVASIVE SPECIES MANAGEMENT GENERALLY REQUIRES A SHORT RESPONSE TIME; EARLY DETECTION AND TIMELY CONTROL ARE IMPORTANT. CURRENTLY AVAILABLE AEROSPACE TECHNOLOGY (E.G. DRONES AND SATELLITES) AND GEOSPATIAL TECHNOLOGIES (E.G. GEOGRAPHIC INFORMATION SYSTEM, REMOTE SENSING, AND IMAGE ANALYSIS) OFFER ATTRACTIVE OPTIONS FOR ENABLING CENSUS OR SURVEY TO DETECT INVASIVE SPECIES IN VARIOUS AGROECOSYSTEMS. RECENT DEVELOPMENTS IN MACHINE LEARNING AND IMAGE ANALYSIS TECHNOLOGY ALSO ENABLE AUTOMATIC DETECTION OF TARGET PESTS. BECAUSE EACH METHOD (I.E. SATELLITE, MANNED AIRPLANE, DRONES, AND GROUND SURVEY) HAS ITS OWN ADVANTAGES AND DISADVANTAGES, WE PLAN TO DEVELOP AN INTEGRATED INVASIVE PEST SURVEY BY STRATEGICALLY INTEGRATING THESE NEW TECHNOLOGIES WITH CONVENTIONAL SURVEY METHODS.THIS 3-YEAR RESEARCH PROJECT WILL DEVELOP AN INTEGRATED INVASIVE PEST DETECTION BY INCORPORATING REMOTE SENSING, CONVENTIONAL GROUND SURVEYS, AND ARTIFICIAL INTELLIGENCE (AI), WHICH CAN OBTAIN AND PROCESS BIG DATA AT MULTIPLE SPATIAL AND TEMPORAL SCALES TO HELP INVASIVE PEST DETECTION. WE HAVE THREE OBJECTIVES IN THIS PROJECT: INTEGRATING SATELLITES, UNMANNED AERIAL SYSTEM (UAS, DRONE), AND CONVENTIONAL GROUND SURVEY INTO A SYSTEM FOR INVASIVE PEST DETECTION (OBJECTIVE 1); DEVELOPMENT OF IMAGE ANALYSIS TOOLS USING AI FOR DETECTING INVASIVE PESTS (OBJECTIVE 2); AND ECONOMIC ASSESSMENT OF THE DEVELOPED INTEGRATED INVASIVE PEST SURVEY SYSTEM (OBJECTIVE 3). FROM THIS PROJECT, WE EXPECT TWO MAJOR OUTCOMES: (1) THE INTEGRATED INVASIVE PEST SURVEY SYSTEM FOR LARGE-SCALE DETECTION OF INVASIVE PESTS USING REMOTE SENSING AND GROUND SURVEY AND (2) UAS/AI-EMPOWERED EDRR TOOL FOR DECISION MAKING ON INVASIVE PEST SURVEY AND MANAGEMENT. THIS NOVEL, INTEGRATED APPROACH IS INTENDED TO BE SAFE, NEAR REAL-TIME, AND ECONOMICAL TO ACCOMPLISH EDRR IN A TIMELY MANNER.