Assessment of cluster yield components by image analysis
[Background] Berry weight, berry number and cluster weight are key parameters for yield estimation for wine and tablegrape industry. Current yield prediction methods are destructive, labour-demanding and time-consuming. In this work, a new methodology, based on image analysis was developed to determine cluster yield components in a fast and inexpensive way.
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| Main Authors: | , , , , , , |
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| Other Authors: | |
| Format: | artículo biblioteca |
| Published: |
John Wiley & Sons
2015-04
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| Subjects: | Berry number per cluster, LIP–Canny, Hough Transform, Berry weight, Cluster weight, Vitis vinifera L, |
| Online Access: | http://hdl.handle.net/10261/144428 http://dx.doi.org/10.13039/100007652 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100003329 |
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| Summary: | [Background] Berry weight, berry number and cluster weight are key parameters for yield estimation for wine and tablegrape industry. Current yield prediction methods are destructive, labour-demanding and time-consuming. In this work, a new methodology, based on image analysis was developed to determine cluster yield components in a fast and inexpensive way. |
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