** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** POLLINATORS PLAY A CRUCIAL ROLE IN GLOBAL BIODIVERSITY BY PROVIDING VITAL ECOSYSTEM SERVICES TO AGRICULTURAL PRODUCTIVITY AND WILD FLORA PRESERVATION. HOWEVER, THEIR CONTINUAL DECLINE IN POPULATION ACROSS THE GLOBE THREATENS MANY POLLINATOR SERVICES WITH IMPACTS AFFECTING MAINTENANCE OF WILD PLANT DIVERSITY, ECOSYSTEM STABILITY, CROP PRODUCTION, FOOD SECURITY, AND HUMAN WELFARE. OUR PROJECT WILL DIRECTLY ADDRESS TWO OF THE UNITED STATES DEPARMENT OF AGRICULTURE'S POLLINATOR HEALTH PRIORITIES, INCLUDING FACTORS THAT INFLUENCE THE ABUNDANCE, DIVERSITY AND HEALTH OF POLLINATORS AND DEVELOPMENT AND EVALUATION OF INNOVATIVE TOOLS AND MANAGEMENT PRACTICES THAT WOULD LIKELY BE ADOPTED BY STAKEHOLDERS TO ENSURE HEALTHY POLLINATORS, BY USING UNMANNED AERIAL VEHICLES (UAV) AND ARTIFICIAL INTELLIGENCE (AI) TOOLS TO PROVIDE A CRITICAL UNDERSTANDING OF THE RELATIONSHIP BETWEEN POLLINATOR ABUNDANCE AND FLORAL PRESENCE. THE PROPOSED RESEARCH AIDS IN DETERMINING THE ABUNDANCE AND DIVERSITY OF BOTH POLLINATOR AND FLOWER SPECIES ACROSS LARGE SWATHES OF AGRICULTURAL FIELDS, PRAIRIES, AND LANDMASSES BY PROVIDING ACCURATE AI IMAGE DETECTORS AND CLASSIFIERS, TRAINED FROM EXPERTLY COLLECTED AND CURATED DATASETS OF BOTH POLLINATOR AND FLOWER SPECIES. WE WILL ALSO PRODUCE A FREE, PUBLIC, WEB APPLICATION WITH DOCUMENTED USER GUIDES FOR EXPERTS AND NON-EXPERTS ALIKE THAT LEVERAGES THE AI DETECTION AND CLASSIFICATION MODELS TO DETECT, CLASSIFY, AND QUANTIZE BOTH BOMBUS AND FLOWER SPECIES FROM UPLOADED IMAGES AND TARGET AREAS. BY MATCHING POLLINATORS WITH THEIR HOST FLOWER SPECIES AND EVALUATING BEST PRACTICES FOR UTILIZING UAVS IN ACQUIRING REAL-TIME MONITORING INFORMATION, RESEARCHERS, LAND MANAGERS, AND ENVIRONMENTAL WATCHDOGS HAVE THE TOOLS NEEDED TO OBSERVE AND MAKE BETTER INFORMED DECISIONS REGARDING POLLINATOR HEALTH AND CONSERVATION.