Estimating Paddy Rice Plant Height and Yield Using UAV Remote Sensing and Solar Radiation

Improving the UAV-based yield estimation of paddy rice by using the solar radiation of geostationary satellite Himawari-8

“…This satellite offers access to satellite-based solar radiation data at a high spatial-temporal resolution. In the current study, we attempt yield estimation through the use of UAV-RS and a satellite-based solar radiation dataset from Himawari-8, and verify the accuracy of this method (Hama et al, 2018).…”

“…Equations (3) and (4) depict the yield estimation model for Koshihikari (Hama et al, 2018). y = 28.2NDVI ℎeading PAR + 131.7…”

“…For the case of Koshihikari, we used the average PAR or solar radiation value 0-20 d after the heading stage. The parameters in Equations (3) and (4) are those of Hama et al (2018). The estimated yield was verified through comparison to the observed yield from 2016 to 2017 at the Chiba and Saitama sites, using the root mean square error (RMSE) and the coefficient of determination (R 2 ).…”

“…Therefore, for yield estimation purposes, a simple estimation model that uses only LAI and solar radiation data can be created. Hama et al (2018) demonstrated the robustness of a paddy rice yield estimation model that uses UAV remote sensing (UAV-RS) and solar radiation information. This method is shown in Figure 1 and Equation (1).…”

“…Each cultivar is different in terms of yield and growth rate; hence, regression analysis is needed when changing the period of the solar radiation data, and an empirical model needs to be created for each cultivar. Hama et al (2018) demonstrated a simple but widely applicable yield estimation model for paddy rice. However, the model results were strongly affected by the accuracy of the solar radiation dataset.…”