Loading patent…
AssigneeWeyerhaeuser NR Company
InventorsRoger Timmis, Mitchell Toland
Estimating the term…
A method is disclosed for classifying plant embryos according to their quality using a logistic regression 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 the sets of image or spectral data values are filtered to provide filtered image or spectral data values. Fourth, a classification algorithm, e.g., a logistic regression analysis is applied to the filtered data values and their corresponding class labels to develop a classification model. Fifth, image or spectral data are acquired from a plant embryo of unknown quality, and filtered data values are derived therefrom. Sixth, the classification model is applied to the filtered data values for the plant embryo of unknown quality to classify the same
A method for developing a classification model for classifying plant embryos according to their quality, the method comprising the steps:
A method of classifying plant embryos according to their quality using a classification model and image and/or spectral data values of plant embryos of known quality that have been filtered by a plurality of filters to provide filtered image and/or spectral data values, the classification model developed from a portion of the filtered image and/or spectral data values and embryo class labels assigned to the embryos of known quality based on their quality, the method comprising the steps:
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.