Method of classifying plant embryos using penalized logistic regression
AssigneeWeyerhaeuser NR Company
InventorJohn Jones
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AssigneeWeyerhaeuser NR Company
InventorJohn Jones
Estimating the term…
A method is disclosed for classifying plant embryos according to their quality 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 metrics are calculated based on the acquired sets of image or spectral data, respectively. Fourth, a penalized logistic regression (PLR) analysis is applied to the sets of metrics and their corresponding class labels to develop a PLR-based classification model. Fifth, image or spectral data are acquired from a plant embryo of unknown quality, and metrics 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.
A method of classifying plant embryos according to their quality, comprising the steps of:
A method of developing a classification model for classifying plant embryos according to their quality, comprising the steps of:
An article comprising a computer-readable signal-bearing medium including computer-executable instructions, wherein the instructions when loaded onto a computer perform the steps comprising:
Dependencies are inferred from the claim text.