Korean Journal of Soil Science and FertilizerISSN:0367-6315(Print) 2288-2162(Online)한국토양비료학회

Unmanned Aerial Vehicle (UAV)s have a high resolution of around 10 cm and can acquire images with lower cost when we want. The purpose of this study was to estimate the rice leaf nitrogen content and grain yield using UAV image. We collected the time series UAV aerial images at the paddy fields and the data were compared with the rice leaf nitrogen contents and rice yield in the experimental sites. Correlation coefficient (R) between the vegetation indices (NDVI, GNDVI, RVI, GRVI) and rice leaf nitrogen contents were ranged from 0.8 to 0.9 from mid-July to late July. Correlation coefficient between the vegetation indices (NDVI, GNDVI, RVI, GRVI) and rice grain yield were more than 0.9 from mid-July to early August. Using these results, we were able to make the distribution map of the rice leaf nitrogen and yield. In the future, it will be necessary to study to recommend supplemental fertilization to ensure rice yield using UAV images information.

Distribution map of rice leaf nitrogen contents using UAV imagery.( N ferilizer level (kg/ha) : Site #1 0, Site #2 135, Site #3 158, Site #4 181, Site #5 204)