System and method for evaluating fruits and vegetables
AssigneeClariFruit
InventorsAvi Schwartzer, Ruby Boyarski
Life of this patent
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Abstract
A system and method for non-destructively determining characteristics of a vegetable or fruit may include processing an image of the vegetable or fruit to produce image analysis results; analyzing hyperspectral and/or Near Infrared (NIR) illumination reflected from the vegetable or fruit to produce reflection analysis results; and calculating at least one value that reflects at least one characteristic of the vegetable or fruit based on the image analysis results and based on the reflection analysis results.
Claims20
A method of non-destructively determining characteristics of a vegetable or fruit, the method comprising:
- creating at least one profile for a cultivar of a vegetable or fruit;
- processing an image of a vegetable or fruit to produce image analysis results;
- analyzing hyperspectral or a combination of hyperspectral and Near Infrared (NIR) illumination reflected from the vegetable or fruit to produce reflection analysis results;
- and
- calculating, and presenting to a user, a score for the vegetable or fruit based on matching the image and reflection analyses results with the profile.
A system comprising:
- a memory;
- and
- a controller configured to:
- create at least one profile for a cultivar of a vegetable or fruit;
- process an image of the vegetable or fruit to produce image analysis results;
- analyze hyperspectral or a combination of hyperspectral and Near Infrared (NIR) illumination reflected from the vegetable or fruit to produce reflection analysis results;
- and
- calculate, and present to a user, a score for the vegetable or fruit based on matching the image and reflection analyses results with the profile.
A method of non-destructively determining characteristics of a vegetable or fruit, the method comprising:
- (a) receiving a training set of hyperspectral data using a system comprising;
- a memory;
- and
- (ii) a controller configured to:
- create at least one profile for a cultivar of a vegetable or fruit;
- process an image of the vegetable or fruit to produce image analysis results;
- analyze hyperspectral illumination reflected from the vegetable or fruit to produce reflection analysis results;
- and
- calculate, and present to a user, a score for the vegetable or fruit based on matching the image and reflection analyses results with the profile;
- (b) applying a machine learning algorithm to said training set of hyperspectral data to provide predictor parameters for said vegetable or fruit profile;
- (c) receiving measurement hyperspectral data from a vegetable or fruit of interest;
- and using said predictor parameters to score said vegetable or fruit of interest;
- wherein said training set of hyperspectral data, and said measurement hyperspectral data comprise reflection spectra across wavelength bands of light that include at least visible, near infrared and short-wave infrared regions of the electromagnetic spectrum.
Dependencies are inferred from the claim text.