Computer vision in Agriculture
This chapter provides an overview of the use of computer vision in agriculture, summarizing the development and current state of this technology in both the field and postharvest. The objective is to present the evolution of this technology, the most used techniques, the types of sensors, and the ma...
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| Other Authors: | |
| Format: | Capítulo de libro |
| Language: | Inglés |
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Springer
2024
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| Online Access: | https://hdl.handle.net/20.500.11939/8868 https://link.springer.com/referenceworkentry/10.1007/978-3-030-89123-7_45-1 |
| _version_ | 1855492575587205120 |
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| author | Blasco, José Aleixos, Nuria |
| author2 | Zhang, Q |
| author_browse | Aleixos, Nuria Blasco, José Zhang, Q |
| author_facet | Zhang, Q Blasco, José Aleixos, Nuria |
| author_sort | Blasco, José |
| collection | ReDivia |
| description | This chapter provides an overview of the use of computer vision in agriculture, summarizing the development and current state of this technology in both the field and postharvest. The objective is to present the evolution of this technology, the most used techniques, the types of sensors, and the main tasks that can be automated. It outlines the components of computer vision systems, reviews standard image processing methods, and discusses the pros and cons of the technologies used. Two examples show how computer vision is used to automate agriculture, including field monitoring with agricultural robots and product inspection after harvest. Finally, the future possibilities of optical technology in agriculture are explored. |
| format | Capítulo de libro |
| id | ReDivia8868 |
| institution | Instituto Valenciano de Investigaciones Agrarias (IVIA) |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | ReDivia88682025-04-25T14:50:40Z Computer vision in Agriculture Blasco, José Aleixos, Nuria Zhang, Q N01 Agricultural engineering Computer vision This chapter provides an overview of the use of computer vision in agriculture, summarizing the development and current state of this technology in both the field and postharvest. The objective is to present the evolution of this technology, the most used techniques, the types of sensors, and the main tasks that can be automated. It outlines the components of computer vision systems, reviews standard image processing methods, and discusses the pros and cons of the technologies used. Two examples show how computer vision is used to automate agriculture, including field monitoring with agricultural robots and product inspection after harvest. Finally, the future possibilities of optical technology in agriculture are explored. 2024-05-02T12:06:01Z 2024-05-02T12:06:01Z 2023 bookPart Blasco, J. & Aleixos, N. (2023). Computer Vision in Agriculture. In: Zhang, Q. (eds) Encyclopedia of Smart Agriculture Technologies, pp. 165-176. 978-3-031-24860-3 https://hdl.handle.net/20.500.11939/8868 10.1007/978-3-030-89123-7_45-1. https://link.springer.com/referenceworkentry/10.1007/978-3-030-89123-7_45-1 en Encyclopedia of Smart Agriculture Technologies Attribution-NonCommercial-NoDerivatives 4.0 Internacional Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ closedAccess Springer electronico |
| spellingShingle | N01 Agricultural engineering Computer vision Blasco, José Aleixos, Nuria Computer vision in Agriculture |
| title | Computer vision in Agriculture |
| title_full | Computer vision in Agriculture |
| title_fullStr | Computer vision in Agriculture |
| title_full_unstemmed | Computer vision in Agriculture |
| title_short | Computer vision in Agriculture |
| title_sort | computer vision in agriculture |
| topic | N01 Agricultural engineering Computer vision |
| url | https://hdl.handle.net/20.500.11939/8868 https://link.springer.com/referenceworkentry/10.1007/978-3-030-89123-7_45-1 |
| work_keys_str_mv | AT blascojose computervisioninagriculture AT aleixosnuria computervisioninagriculture |