摘要
High-throughput phenotyping has become the frontier to accelerate breeding through linking genetics to crop growth estimation,which requires accurate estimation of leaf area index(LAI).This study developed a hybrid method to train the random forest regression(RFR)models with synthetic datasets generated by a radiative transfer model to estimate LAI from UAV-based multispectral images.
基金
The field experiment conducted in 2016 was supported by the Grains Research and Development Corporation(Grant no.CSP00179)
results from this work inform a related project(UOQ2003-011RTX).
