Rice Yield Estimation Based on Continuous Wavelet Transform With Multiple Growth Periods.

ABSTRACT: Yield is an important indicator in evaluating rice planting, and it is the collective result of various factors over multiple growth stages. To achieve a large-scale accurate prediction of rice yield, based on yield estimation models using a single growth stage and conventional spectral transformation methods, this study introduced the continuous wavelet transform algorithm and constructed models under the premise of combined multiple growth stages. In this study, canopy reflectance spectra at four important stages of rice elongation, heading, flowering and milky were selected, and then, a rice yield estimation model was constructed by combining vegetation index, first derivative and wavelet transform based on random forest algorithm or multiple stepwise regression. This study found that t

SUBMITTER: Gu C 

PROVIDER: S-EPMC9285008 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature