Wheat Yield and Protein Estimation with Handheld and Unmanned Aerial Vehicle-Mounted Sensors

Accurate sensor-based prediction of crop yield and grain quality in-season would enable growers to adjust nitrogen (N) fertilizer management for optimized production. This study assessed the feasibility (and compared accuracy) wheat (Triticum aestivum L.) yield, N uptake, protein content with spectral reflectance measurements (Normalized Difference Vegetative Index, NDVI) obtained a handheld GreenSeeker (GS) sensor an Unmanned Aerial Vehicle (UAV)-mounted sensor. A strong positive correlation was observed between GS NDVI UAV at Feekes 5 (R2 = 0.78) 10 0.70). At 5, explained 42% 43% respectively. The weaker 0.34 0.25 NDVI, respectively). accuracy uptake comparable that yield: R2 values were 0.53 0.37 0.13 0.20 10. We found neither nor data useful in content. In conclusion, can be estimated using either or aerial based accuracy.