The main goal of this proposal is to utilize and train/calibrate two AI-enhance technologies, Agroview and AgroSense, to assess damages and risks in specialty crop production caused by extreme weather events (e.g., hurricanes).The specific objectives are:Train AI models and develop a module on Agroview to automatically detect and visualize damages on specialty crops caused by extreme weather events (aka, Hurricane Ian). Utilize both aerial (aka, UAVs) and ground (aka, AgroSense) sensing platforms for data collection. Conduct case studies on citrus, tomato, and pepper.Evaluate this novel technology in commercial fields in collaboration with growers and a crop insurance company. Collect data from at least 20,000 acres of citrus, tomato, and pepper fields covering South and Central Florida; areas with high and different types (e.g., high winds, heavy precipitation, flooding, or combination) of impacts. Develop an extension program to demonstrate the impact of extreme weather events and the novel rapid response tool.