Assessment of Hyperspectral Reflectance on Rice Leaf Inoculated with Bacterial Leaf Blight for Applicability of UAV Monitoring

We analyzed the spectral reflectance characteristics of rice leaves according to the occurrence of bacterial leaf blight and the correlation between vegetation index and disease area ratio in order to evaluate the possibility of using Unmanned Aerial Vehicle (UAV) image for disease investigation. As a result, relationship between the spectral reflectance of inoculated rice leaves and the ratio of disease area showed a high correlation of 0.9 or more in wavelength from 700 nm to 750 nm. Also, the reflectance of the visible light region from 500 nm to 700 nm and the near infrared region in more than 800 nm showed a correlation from 0.8 to 0.9 more. The area ration of rice leaves increase rapidly after 10 days of inoculation. The vegetation index(NDVI, GNDVI and NDRE) that can be calculated by UAV images showed a tendency to decrease remarkably with increase of diseased area ratio. Relationship between the vegetation index and disease area ratio on the 10th day after the inoculation, in which disease area ratio increased rapidly, showed a negative linear correlation from -0.77 to -0.95. Therefore, it is considered that it is possible to analyze the diseased area by UAV image. KCI Citation Count: 0