Estimating Yield of Rice Based on Remote Sensing by Unmanned Aerial Vehicle
Received date: 2021-06-15
Online published: 2022-01-18
Accurate estimation of rice yield is of great significance in agricultural production. In our study, using canopy spectral image data collected by Unmanned Aerial Vehicle（UAV） during the main growth period of rice, eight different vegetation indices were extracted to construct a fitting relationship with rice yield. The object of this study was to explore the optimal vegetation index and operation time to enhance the accuracy and quickness of yield prediction by UAV during rice growing season. The results showed that, the early stage of rice growth was not suitable for yield estimation, and the effect of yield estimation from heading stage to mature stage was better. The best growth stage of rice yield estimation was heading stage The multivariate linear model based on NDVI, RVI, DVI, GNDVI and MSAVI2 in this period had a good estimation effect, and the accuracy of verification was the best. It is feasible to estimate rice yield by multispectral data.
Key words： unmanned aerial vehicle; remote sensing; rice; yield estimation; model
TIAN Ting, ZHANG Qing, ZHANG Haidong, HE Qiquan, JI Fangfang, ZHU Lin . Estimating Yield of Rice Based on Remote Sensing by Unmanned Aerial Vehicle[J]. China Rice, 2022 , 28(1) : 67 -72 . DOI: 10.3969/j.issn.1006-8082.2022.01.014
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