Combination of RGB and Multispectral Imagery for Discrimination of Cabernet Sauvignon Grapevine Elements
This paper proposes a sequential masking algorithm based on the K-means method that combines RGB and multispectral imagery for discrimination of Cabernet Sauvignon grapevine elements in unstructured natural environments, without placing any screen behind the canopy and without any previous preparati...
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| Outros autores: | , , , |
| Formato: | article |
| Idioma: | inglés |
| Publicado: |
2013
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| Acceso en liña: | http://www.mdpi.com/1424-8220/13/6/7838 http://ridda2.utp.ac.pa/handle/123456789/2363 |
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| _version_ | 1869652476404170752 |
|---|---|
| author | Fernández, Roemi |
| author2 | Montes Franceschi, Héctor Salinas, Carlota Sarria, Javier Armada, Manuel |
| author2_role | author author author author |
| author_browse | Armada, Manuel Fernández, Roemi Montes Franceschi, Héctor Salinas, Carlota Sarria, Javier |
| author_facet | Fernández, Roemi Montes Franceschi, Héctor Salinas, Carlota Sarria, Javier Armada, Manuel |
| author_role | author |
| collection | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| dc.creator.none.fl_str_mv | Fernández, Roemi Montes Franceschi, Héctor Salinas, Carlota Sarria, Javier Armada, Manuel |
| dc.date.none.fl_str_mv | 2013-06-19 2013-06-19 2017-07-31T16:00:04Z 2017-07-31T16:00:04Z 2017-07-31T16:00:04Z 2017-07-31T16:00:04Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://www.mdpi.com/1424-8220/13/6/7838 http://ridda2.utp.ac.pa/handle/123456789/2363 http://ridda2.utp.ac.pa/handle/123456789/2363 |
| dc.language.none.fl_str_mv | eng eng |
| dc.rights.none.fl_str_mv | https://creativecommons.org/licenses/by-nc-sa/4.0/ info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTP instname:Universidad Tecnológica de Panamá instacron:U Tecnológica de Panamá |
| dc.subject.none.fl_str_mv | multispectral imagery precision viticulture Cabernet Sauvignon optical filters image processing classification K-means multispectral imagery precision viticulture Cabernet Sauvignon optical filters image processing classification K-means |
| dc.title.none.fl_str_mv | Combination of RGB and Multispectral Imagery for Discrimination of Cabernet Sauvignon Grapevine Elements |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| description | This paper proposes a sequential masking algorithm based on the K-means method that combines RGB and multispectral imagery for discrimination of Cabernet Sauvignon grapevine elements in unstructured natural environments, without placing any screen behind the canopy and without any previous preparation of the vineyard. In this way, image pixels are classified into five clusters corresponding to leaves, stems, branches, fruit and background. A custom-made sensory rig that integrates a CCD camera and a servo-controlled filter wheel has been specially designed and manufactured for the acquisition of images during the experimental stage. The proposed algorithm is extremely simple, efficient, and provides a satisfactory rate of classification success. All these features turn out the proposed algorithm into an appropriate candidate to be employed in numerous tasks of the precision viticulture, such as yield estimation, water and nutrients needs estimation, spraying and harvesting. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | lrtest_e099ac3ba08f7c2012642b414c233dbc |
| instacron_str | U Tecnológica de Panamá |
| institution | U Tecnológica de Panamá |
| instname_str | Universidad Tecnológica de Panamá |
| language | eng |
| network_acronym_str | lrtest |
| network_name_str | lr |
| oai_identifier_str | oai:ridda2.utp.ac.pa:123456789/2363 |
| publishDate | 2013 |
| publishDateSort | 2013 |
| reponame_str | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | https://creativecommons.org/licenses/by-nc-sa/4.0/ |
| spelling | Combination of RGB and Multispectral Imagery for Discrimination of Cabernet Sauvignon Grapevine ElementsFernández, RoemiMontes Franceschi, HéctorSalinas, CarlotaSarria, JavierArmada, Manuelmultispectral imageryprecision viticultureCabernet Sauvignonoptical filtersimage processingclassificationK-meansmultispectral imageryprecision viticultureCabernet Sauvignonoptical filtersimage processingclassificationK-meansThis paper proposes a sequential masking algorithm based on the K-means method that combines RGB and multispectral imagery for discrimination of Cabernet Sauvignon grapevine elements in unstructured natural environments, without placing any screen behind the canopy and without any previous preparation of the vineyard. In this way, image pixels are classified into five clusters corresponding to leaves, stems, branches, fruit and background. A custom-made sensory rig that integrates a CCD camera and a servo-controlled filter wheel has been specially designed and manufactured for the acquisition of images during the experimental stage. The proposed algorithm is extremely simple, efficient, and provides a satisfactory rate of classification success. All these features turn out the proposed algorithm into an appropriate candidate to be employed in numerous tasks of the precision viticulture, such as yield estimation, water and nutrients needs estimation, spraying and harvesting.This paper proposes a sequential masking algorithm based on the K-means method that combines RGB and multispectral imagery for discrimination of Cabernet Sauvignon grapevine elements in unstructured natural environments, without placing any screen behind the canopy and without any previous preparation of the vineyard. In this way, image pixels are classified into five clusters corresponding to leaves, stems, branches, fruit and background. A custom-made sensory rig that integrates a CCD camera and a servo-controlled filter wheel has been specially designed and manufactured for the acquisition of images during the experimental stage. The proposed algorithm is extremely simple, efficient, and provides a satisfactory rate of classification success. All these features turn out the proposed algorithm into an appropriate candidate to be employed in numerous tasks of the precision viticulture, such as yield estimation, water and nutrients needs estimation, spraying and harvesting.2017-07-31T16:00:04Z2017-07-31T16:00:04Z2017-07-31T16:00:04Z2017-07-31T16:00:04Z2013-06-192013-06-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.mdpi.com/1424-8220/13/6/7838http://ridda2.utp.ac.pa/handle/123456789/2363http://ridda2.utp.ac.pa/handle/123456789/2363engenghttps://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccessreponame:Repositorio Institucional de documento digitales de acceso abierto de la UTPinstname:Universidad Tecnológica de Panamáinstacron:U Tecnológica de Panamáoai:ridda2.utp.ac.pa:123456789/23632021-07-06T15:34:49Z |
| spellingShingle | Combination of RGB and Multispectral Imagery for Discrimination of Cabernet Sauvignon Grapevine Elements Fernández, Roemi multispectral imagery precision viticulture Cabernet Sauvignon optical filters image processing classification K-means multispectral imagery precision viticulture Cabernet Sauvignon optical filters image processing classification K-means |
| status_str | publishedVersion |
| title | Combination of RGB and Multispectral Imagery for Discrimination of Cabernet Sauvignon Grapevine Elements |
| title_full | Combination of RGB and Multispectral Imagery for Discrimination of Cabernet Sauvignon Grapevine Elements |
| title_fullStr | Combination of RGB and Multispectral Imagery for Discrimination of Cabernet Sauvignon Grapevine Elements |
| title_full_unstemmed | Combination of RGB and Multispectral Imagery for Discrimination of Cabernet Sauvignon Grapevine Elements |
| title_short | Combination of RGB and Multispectral Imagery for Discrimination of Cabernet Sauvignon Grapevine Elements |
| title_sort | Combination of RGB and Multispectral Imagery for Discrimination of Cabernet Sauvignon Grapevine Elements |
| topic | multispectral imagery precision viticulture Cabernet Sauvignon optical filters image processing classification K-means multispectral imagery precision viticulture Cabernet Sauvignon optical filters image processing classification K-means |
| url | http://www.mdpi.com/1424-8220/13/6/7838 http://ridda2.utp.ac.pa/handle/123456789/2363 |