Assessment of flower number per inflorescence in grapevine by image analysis under field conditions
[Background] Flowers, flowering and fruit set are key determinants of grapevine yield. Currently, practical methods to assess the flower number per inflorescence, necessary for fruit set estimation, are time and labour demanding. This work aims at developing a simple, cheap, fast, accurate and robust machine vision methodology to be applied to RGB images taken under field conditions, to estimate the number of flowers per inflorescence automatically.
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| Main Authors: | , , , , |
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| Format: | artículo biblioteca |
| Published: |
John Wiley & Sons
2014-08
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| Subjects: | Vitis vinifera L, Berry number per cluster, Flowering, Non-invasive technologies, Fruit set, Vineyard, |
| Online Access: | http://hdl.handle.net/10261/144161 |
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| Summary: | [Background] Flowers, flowering and fruit set are key determinants of grapevine yield. Currently, practical methods to assess the flower number per inflorescence, necessary for fruit set estimation, are time and labour demanding. This work aims at developing a simple, cheap, fast, accurate and robust machine vision methodology to be applied to RGB images taken under field conditions, to estimate the number of flowers per inflorescence automatically. |
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