Hyperspectral Canopy Sensing of Wheat Septoria Tritici Blotch Disease.

ABSTRACT: Producing quantitative and reliable measures of crop disease is essential for resistance breeding, but is challenging and time consuming using traditional phenotyping methods. Hyperspectral remote sensing has shown potential for the detection of plant diseases, but its utility for phenotyping large and diverse populations of plants under field conditions requires further evaluation. In this study, we collected canopy hyperspectral data from 335 wheat varieties using a spectroradiometer, and we investigated the use of canopy reflectance for detecting the Septoria tritici blotch (STB) disease and for quantifying the severity of infection. Canopy- and leaf-level infection metrics of STB based on traditional visual assessments and automated analyses of leaf images were used as ground truth dat

SUBMITTER: Yu K 

PROVIDER: S-EPMC6108383 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature