Estimation of Sugar Beet Yield and Quality with UAV-Based Sensors

Efficient nitrogen (N) and water management are key for maximizing sugar yield in sugar beets. UAV-based remote sensing is increasingly being using as a tool for in-season N and water management and in-season prediction of sugar beet yield and quality. This four-page bulletin summarizes the results of two Parma sugar beet field trials that involved the use of a UAV. Using the airborne gadget, researchers measured the effects of water and N fertilizer rates on sugar beets and made predictions about sugar beet root yield and sucrose content. Based on detailed plot-graph results, they report that UAVs (specifically, a Matrice 100 UAV) are promising tools for use in making these types of calculations in season, although the equipment merits more extensive, multisite study.