During the 2017 CSI Meeting in Cali, Francis Muthoni from IITA introduced a study from the TAMASA (Taking Maize Agronomy to Scale in Africa) project, where the accuracy of UAV-measured yields are being assessed in comparison with field measurements. There were large degree of complexities in farmers’ fields due to highly heterogeneous cropping and management practices, increasing the noise-to-signal ratio of the spectral reflectance, but overall result of this approach showed an acceptable, promising level of accuracy.
- r² of NDVI measurement between UAV and handheld sensor: 0.64
- r² of UAV-measured NDVI at 8-week old maize and field-measured grain yield: 0.65
Learn more about this TAMASA case study and other geospatial work at IITA from Francis’ presentation: Julius B. Adewopo (IITA) 2017 – Center Update – CGIAR-CSI in Cali (Sep 22).
CGIAR-CSI 
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