Rapid automated detection of stem canker symptoms in woody perennials using artificial neural network analysis

摘要

BackgroundPseudomonas syringae can cause stem necrosis and canker in a wide range of woody species including cherry, plum, peach, horse chestnut and ash. The detection and quantification of lesion progression over time in woody tissues is a key trait for breeders to select upon for resistance.