UAV‐based NDVI estimation of sugarbeet yield and quality under varied nitrogen and water rates

The accuracy of the traditional soil and plant-based techniques for assessing sugarbeet demand nitrogen (N) yield prediction is generally low. Refining N irrigation water management a key to maximizing return (Beta vulgaris L.) growers from agronomic, economic, environmental perspective. use Normalized Difference Vegetative Index (NDVI) in combination with unmanned aerial vehicle (UAV)-based data collection in-season estimation root sugar concentration has potential precision management. Sugarbeet field trials were conducted Idaho 2019 2020 assess (1) effects fertilizer rates on estimated recoverable (ERS) (2) feasibility predicting ERS using UAV NDVI. At lowest rate, application at 100% level resulted greater yield, compared 50%, both years. higher rates, 50% produced yields. each level, lower ERS, 50%. NDVI was strongly correlated ERS. relationship between stronger July (60 days after planting) June (40 planting). Estimating late June/early topdressing crop before end may help improve efficiency while optimizing production.