Single seed sortation
OwnerTorbjorn Lestander, Per Odeninventors
Life of this patent
Estimating the term…
Abstract
A method to determine viability or non-viability of seeds is disclosed, wherein individual seeds or seed populations are analysed by a spectrometric method to provide spectral data; and said spectral data are compared with reference spectral data obtained for a reference seed or reference seed population by means of said spectrometric method and calibrated with reference to viability or non-viability of said reference seed or seed population by means of a calibrating method based on pattern recognition. Suitable calibrating methods are based on multivariate or megavariate analysis, neural network systems and regression analysis.
Claims12
A method to determine viability or non-viability of seeds, wherein
- (1) an individual seed or a seed population is analysed by a spectrometric method to provide spectral data;
- and
- (2) the spectral data recorded in (1) are compared with reference spectral data recorded for a reference seed or reference seed population by means of the spectrometric method of (1) and calibrated with reference to viability or non-viability of said reference seed or seed population by means of a calibrating method based on pattern recognition, or said data are compared with reference spectral data from a data base.
The method of any preceding claim, wherein the result from the comparison performed in step (2) is used to classify the seeds or seed populations analysed in step (1) into at least two distinct fractions, one fraction comprising viable seeds and one other fraction comprising non-viable seeds.
The method of any preceding claim, wherein the calibrating method is based on multivariate analysis performed by principal components analysis, partial least squares projections to latent structures, target rotation and ridge regression.
The method of any preceding claim, wherein the calibrating method is based on regression analysis performed by multilinear regression analysis, linear regression best linear unbiased predictor or best linear unbiased estimator.
Dependencies are inferred from the claim text.