Canopy Spectral Characterization of Wheat Stripe Rust in Latent Period

摘要: Stripe rust, caused by Puccinia striiformis f. sp. tritici (Pst), is one of the important wheat diseases worldwide. In this study, spectral data were collected from canopy during latent period inoculated with three different concentrations urediniospores and classification models based on discriminant partial least squares (DPLS) built to differentiate leaves without infection stripe rust pathogen. The effects spectra features, wavebands, number samples used in modeling performances assessed. results showed that, region 325–1075 nm, model feature 2nd derivative Pseudoabsorption index had better accuracy than others. average rate was 97.28% for training set 92.98% testing set. waveband 925–1075 nm, 1st other models, rates 98.27% 94.33% sets, respectively. demonstrated that can be qualitatively identified detection. Thus, method early monitoring infections rust.