Estimation for Red Pepper Growth by Vegetation Indices Based on Unmanned Aerial Vehicle
2018
Na, S.I., National Institute of Agricultural Sciences, RDA, Wanju, Republic of Korea | Park, C.W., National Institute of Agricultural Sciences, RDA, Wanju, Republic of Korea | So, K.H., National Institute of Agricultural Sciences, RDA, Wanju, Republic of Korea | Ahn, H.Y., National Institute of Agricultural Sciences, RDA, Wanju, Republic of Korea | Kim, K.D., National Institute of Crop Science, RDA, Pyoungchang, Republic of Korea | Lee, K.D., National Institute of Agricultural Sciences, RDA, Wanju, Republic of Korea
Unmanned Aerial Vehicles (UAVs) are currently gaining a growing interest for agriculture applications due to its potential in precision agriculture such as the identification of weeds and crop production issues, diagnosing nutrient deficiencies, and the prediction of biomass and yield. This study reports on the development for estimating the growth parameters of red pepper. The red pepper field using UAV was studied, and image analysis technologies were studied to develop growth estimation model from acquired images. We used the normalized difference vegetation index (NDVI) that reflects the crop conditions, and vegetation fraction (VF) for 2 major cultivation regions from 2016 to 2017. For this study, UAV imagery was taken at Goesan and Jeongeup regions ten times from June to September during the red pepper growing season. Two plant growth parameters, plant height (P.H.) and fruit set (F.S.) were measured for ten plants per plot for each field campaign. A multiple linear regression model was carried out by using the NDVI and VF extracted from UAV image. As a result, in the case of the P.H. the coefficient of determination was 0.805 and the root mean squared error of measurement was 8.140 cm. And for the F.S., the coefficient of determination was 0.979 and the root mean squared error of measurement was 2.407. These results will also be useful for determining the UAV imagery necessary to estimate growth parameters of red pepper.
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