The talk will focus on highlighting the results from a recent 2-year study conducted in southern Idaho in sugarbeets grown under varied nitrogen (N) and irrigation water levels. Sugarbeet (Beta vulgaris L.) production profitability is based on maximizing three parameters: root yield, sucrose concentration, and sucrose recovery efficiency, or the estimated recoverable sugar (ERS). Efficient N and irrigation water management are vital for sustainable and profitable sugarbeet production. Advances in remote sensing have led to the development of unmanned aerial vehicle (UAV)-based data collection and processing methodology that enables to monitor crop growth and development and estimation of crop yield and quality mid-season. This methodology is based on detecting and measuring the optical attributes of plants and their associated vigor and health properties. The objectives of this study were: 1) to analyze the effects of water and N fertilizer rates on yield and quality of sugarbeets, and 2) to access the feasibility of predicting sugarbeet root yield and ERS using UAV-based spectral reflectance measurements.