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...
| Main Authors: | , , , , |
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| Format: | Artículo |
| Language: | Inglés |
| Published: |
2017
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| Online Access: | http://hdl.handle.net/20.500.11939/5135 |
| _version_ | 1855491873239465984 |
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| author | Diago-Santamaría, María P. Sanz-Garcia, Andres Millan, Borja Blasco, José Tardáguila, Javier |
| author_browse | Blasco, José Diago-Santamaría, María P. Millan, Borja Sanz-Garcia, Andres Tardáguila, Javier |
| author_facet | Diago-Santamaría, María P. Sanz-Garcia, Andres Millan, Borja Blasco, José Tardáguila, Javier |
| author_sort | Diago-Santamaría, María P. |
| collection | ReDivia |
| description | 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.
RESULTS
Ninety images of individual inflorescences of Vitis vinifera L. cultivars Tempranillo, Graciano and Carignan were acquired in the vineyard with a pocket RGB camera prior to flowering, and used to develop and test the ‘flower counting’ algorithm. Strong and significant relationships, with R2 above 80% for the three cultivars were observed between actual and automated estimation of inflorescence flower numbers, with a precision exceeding 90% for all cultivars.
CONCLUSION
The developed algorithm proved that the analysis of digital images captured by pocket cameras under uncontrolled outdoors conditions was able to automatically provide a useful estimation of the number of flowers per inflorescence of grapevines at early stages of flowering. |
| format | Artículo |
| id | ReDivia5135 |
| institution | Instituto Valenciano de Investigaciones Agrarias (IVIA) |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| record_format | dspace |
| spelling | ReDivia51352025-04-25T14:45:29Z Assessment of flower number per inflorescence in grapevine by image analysis under field conditions Diago-Santamaría, María P. Sanz-Garcia, Andres Millan, Borja Blasco, José Tardáguila, Javier 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. RESULTS Ninety images of individual inflorescences of Vitis vinifera L. cultivars Tempranillo, Graciano and Carignan were acquired in the vineyard with a pocket RGB camera prior to flowering, and used to develop and test the ‘flower counting’ algorithm. Strong and significant relationships, with R2 above 80% for the three cultivars were observed between actual and automated estimation of inflorescence flower numbers, with a precision exceeding 90% for all cultivars. CONCLUSION The developed algorithm proved that the analysis of digital images captured by pocket cameras under uncontrolled outdoors conditions was able to automatically provide a useful estimation of the number of flowers per inflorescence of grapevines at early stages of flowering. 2017-06-01T10:11:45Z 2017-06-01T10:11:45Z 2014 AUG 2014 article Diago, M. P., Sanz-Garcia, Andres, Millan, Borja, Blasco, J., Tardaguila, J. (2014). Assessment of flower number per inflorescence in grapevine by image analysis under field conditions. Journal of the science of food and agriculture, 94(10), 1981-1987. 0022-5142 http://hdl.handle.net/20.500.11939/5135 10.1002/jsfa.6512 en openAccess Impreso |
| spellingShingle | Diago-Santamaría, María P. Sanz-Garcia, Andres Millan, Borja Blasco, José Tardáguila, Javier Assessment of flower number per inflorescence in grapevine by image analysis under field conditions |
| title | Assessment of flower number per inflorescence in grapevine by image analysis under field conditions |
| title_full | Assessment of flower number per inflorescence in grapevine by image analysis under field conditions |
| title_fullStr | Assessment of flower number per inflorescence in grapevine by image analysis under field conditions |
| title_full_unstemmed | Assessment of flower number per inflorescence in grapevine by image analysis under field conditions |
| title_short | Assessment of flower number per inflorescence in grapevine by image analysis under field conditions |
| title_sort | assessment of flower number per inflorescence in grapevine by image analysis under field conditions |
| url | http://hdl.handle.net/20.500.11939/5135 |
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