**AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** EVAPOTRANSPIRATION (ET) INFORMATION IS CRITICAL FOR CLIMATE-SMART IRRIGATION PRACTICES, BUT LOCAL CROP ET FORECASTS ARE CURRENTLY UNAVAILABLE FOR MOST FARMERS. THE OVERALL OBJECTIVE OF THIS PROJECT IS TO DEVELOP AND DELIVER A PROOF-OF-CONCEPT FRAMEWORK FOR GLOBALLY AVAILABLE SHORT-TERM CROP ET FORECASTS. THESE FORECASTS WILL BE TAILORED TO LOCAL CONDITIONS USING INFORMATION FROM FARMER-PROVIDED SMARTPHONE IMAGES. THE PROJECT WILL BUILD FROM THE FREE CANOPEO APP ALREADY USED WORLDWIDE. THE NEW PROOF-OF-CONCEPT TOOL WILL USE CANOPEO IMAGES AND METADATA IN CONJUNCTION WITH GLOBALLY AVAILABLE WEATHER FORECASTS AND NOVEL DEEP-LEARNING MODELS. WEATHER FORECASTS WILL BE USED TO FORECAST REFERENCE ET, WHICH WILL BE ADJUSTED TO ESTIMATE THE ET OF THE FARMER'S PARTICULAR CROP (E.G., VIA A CROP COEFFICIENT) USING AN ESTABLISHED METHOD INFORMED BY THE PERCENT CANOPY COVER MEASURED BY CANOPEO. TO FURTHER TAILOR ET ESTIMATES TO THE SOIL MOISTURE CONDITIONS (I.E., ESTIMATE THE WATER STRESS COEFFICIENT) IS MORE DIFFICULT BECAUSE THERE IS NO ESTABLISHEDSCALABLE METHOD FOR ESTIMATING LOCAL SOIL MOISTURE IN IRRIGATED CROPS. TO FILL THIS GAP, A NOVEL DEEP-LEARNING METHOD WILL BE DEVELOPED. THIS METHOD WILL ESTIMATE THE WATER STRESS COEFFICIENT BASED ON RECENT WEATHER AND CROP (AND SOIL) CONDITIONS AS REFLECTED IN THE MOBILE PHONE IMAGES. THE FORECASTS WILL BE DELIVERED TO BETA TESTERS AND THEIR FEEDBACK WILL BE USED TO REFINE THE CROP ET FORECAST SYSTEM. BETA TESTERS WILL COME FROM THE 30K+ CANOPEO USERS WORLDWIDE AND FROM OKLAHOMA IRRIGATORS ENGAGED THROUGH THE OKLAHOMA STATE UNIVERSITY EXTENSION NETWORK.