Automated visual grading of vegetative cuttings
نویسندگان
چکیده
Commercial vegetative propagation of oricultural crops requires the segregation of plant cuttings into categories based on size. The cuttings however must be graded when they are planted ("stuck"), at which time the grade of a cutting is not easy to determine. This paper reports on a system that learns to classify cuttings from being shown examples of images of cuttings that have been graded by a human expert. Based on the example set, the system learns to grade cuttings into categories. We report the results based on a set of 150 geranium plants that were graded by our system and compare the results to the performance of an expert grader.
منابع مشابه
Early Results in the Grading of Vegetative Cuttings using Computer Vision
Commercial vegetative propagation of floricultural crops requires the segregation of plant cuttings into categories based on size. The cuttings however must be graded when they are planted (" stuck "), at which time the grade of a cutting is not easy to determine. This report describes a system that learns to classify cuttings from being shown examples of images of cuttings that have been grade...
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This paper reports on recent progress in the development of system to group populations of vegetative cuttings. The system is required to assign a classification to cuttings such that they appear uniform after a growing period using single two-dimensional monochrome images. We have developed a fast segmentation technique that is able to measure plant features and a supervised learning scheme th...
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This paper reports on recent progress in the development of system to group populations of vegetative cuttings. The system is required to assign a classification to cuttings such that they appear uniform after a growing period based on single two-dimensional monochrome images. We have developed a fast segmentation technique that is able to measure plant features and a supervised learning scheme...
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This paper reports on recent progress in the development of system to group populations of vegetative cuttings. The system is required to assign a classification to cuttings such that they appear uniform after a growing period using single two-dimensional monochrome images. We have developed a fast segmentation technique that is able to measure plant features and a supervised learning scheme th...
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