METHOD OF CLASSIFYING PLANT EMBRYOS USING PENALIZED LOGISTICREGRESSION

摘要

A method is disclosed for classifying plant embryos according to their quali ty using a penalized logistic regression (PLR) model. First, sets of image or spectral data are acquired from plant embryos of known quality, respectively. Second, each of the acquired sets of image or spectral data is associated with one of multiple class labels according to the corresponding embryo's known quality. Third, sets of metric s are calculated based on the acquired sets of image or spectral data, respectivel y. Fourth, a penalized logistic regression (PLR) analysis is applied to the sets of metri cs and their corresponding class labels to develop a PLR-based classification model. Fift h, image or spectral data are acquired from a plant embryo of unknown quality, and metri cs are calculated based therefrom. Sixth, the PLR-based classification model is applied to the metrics calculated for the plant embryo of unknown quality to classify the same.