Allometric relationships for biomass estimation of persimmon trees using a field robot, LiDAR and photogrammetry
Chemical analyses of plants for nutritional diagnoses are destructive, complex, and timeconsuming. Fast and non-destructive alternatives based on optical sensors can perform the nutritional status of plants in the field [1]. While data captured by spectral sensors can be used to determine the nut...
| Autores principales: | , , , , , |
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| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/20.500.11939/8937 |
| _version_ | 1855492590831403008 |
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| author | Rodríguez, Alejandro Morales, J. rey, B. Cubero, Sergio Aleixos, Nuria Blasco, José |
| author_browse | Aleixos, Nuria Blasco, José Cubero, Sergio Morales, J. Rodríguez, Alejandro rey, B. |
| author_facet | Rodríguez, Alejandro Morales, J. rey, B. Cubero, Sergio Aleixos, Nuria Blasco, José |
| author_sort | Rodríguez, Alejandro |
| collection | ReDivia |
| description | Chemical analyses of plants for nutritional diagnoses are destructive, complex, and timeconsuming.
Fast and non-destructive alternatives based on optical sensors can perform the
nutritional status of plants in the field [1]. While data captured by spectral sensors can be used to
determine the nutritional status, the actual needs are influenced by other factors, such as the size of
the plant or growth evolution. Allometric measurements, such as height, diameter, or canopy volume,
along with the study of their temporal evolution, can provide valuable information. The use of 3D
sensors can optimise this process, with one of the most widely used sensors being LiDAR [2].
Another technique is photogrammetry, which generates a 3D model from photographs. The aim
was to develop non-destructive tools for determining allometric measurements of a persimmon crop
at various phenological stages using LiDAR and photogrammetry on a robotic platform. |
| format | Objeto de conferencia |
| id | ReDivia8937 |
| institution | Instituto Valenciano de Investigaciones Agrarias (IVIA) |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| record_format | dspace |
| spelling | ReDivia89372025-04-25T14:51:14Z Allometric relationships for biomass estimation of persimmon trees using a field robot, LiDAR and photogrammetry Rodríguez, Alejandro Morales, J. rey, B. Cubero, Sergio Aleixos, Nuria Blasco, José N01 Agricultural engineering Diospyros kaki Biomass Trees Robots Chemical analyses of plants for nutritional diagnoses are destructive, complex, and timeconsuming. Fast and non-destructive alternatives based on optical sensors can perform the nutritional status of plants in the field [1]. While data captured by spectral sensors can be used to determine the nutritional status, the actual needs are influenced by other factors, such as the size of the plant or growth evolution. Allometric measurements, such as height, diameter, or canopy volume, along with the study of their temporal evolution, can provide valuable information. The use of 3D sensors can optimise this process, with one of the most widely used sensors being LiDAR [2]. Another technique is photogrammetry, which generates a 3D model from photographs. The aim was to develop non-destructive tools for determining allometric measurements of a persimmon crop at various phenological stages using LiDAR and photogrammetry on a robotic platform. 2024-06-07T09:32:19Z 2024-06-07T09:32:19Z 2023 conferenceObject Rodríguez, A., Morales, J., Rey, B., Cubero, S., Aleixos, N., Quiñones, A., Blasco, J. (2023) Allometric relationships for biomass estimation of persimmon trees using a field robot, LiDAR and photogrammetry. 14th European Conference on Precision Agriculture, Bolonia, pp. 31-32. https://hdl.handle.net/20.500.11939/8937 en 2023-07-02 14th European Conference on Precision Agriculture Bolonia This work is part of the projects ED2021-130117B-C31 Smart autonomous electrical robot for a digital and sustainable agriculture in the Valencian Community, co-funded by MCIN/AEI/10.13039/501100011033 and UE NextGenerationEU/PRTR, and GVA-IVIA 52203 and 52204 co-funded by ERDF of the CV 2021-2027. info:eu-repo/grantAgreement/ERDF/PCV 2021-2027/52203/ES/Sostenibilidad y economía circular como ejes de desarrollo del sector agrario valenciano: suelo, agua y biodiversidad/SostE-SABio info:eu-repo/grantAgreement/ERDF/PCV 2021-2027/52204/ES/Tecnología inteligente para una agricultura digital, sostenible y precisa en la comunitat valenciana/AgrIntel·ligència-CV Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ openAccess electronico |
| spellingShingle | N01 Agricultural engineering Diospyros kaki Biomass Trees Robots Rodríguez, Alejandro Morales, J. rey, B. Cubero, Sergio Aleixos, Nuria Blasco, José Allometric relationships for biomass estimation of persimmon trees using a field robot, LiDAR and photogrammetry |
| title | Allometric relationships for biomass estimation of persimmon trees using a field robot, LiDAR and photogrammetry |
| title_full | Allometric relationships for biomass estimation of persimmon trees using a field robot, LiDAR and photogrammetry |
| title_fullStr | Allometric relationships for biomass estimation of persimmon trees using a field robot, LiDAR and photogrammetry |
| title_full_unstemmed | Allometric relationships for biomass estimation of persimmon trees using a field robot, LiDAR and photogrammetry |
| title_short | Allometric relationships for biomass estimation of persimmon trees using a field robot, LiDAR and photogrammetry |
| title_sort | allometric relationships for biomass estimation of persimmon trees using a field robot lidar and photogrammetry |
| topic | N01 Agricultural engineering Diospyros kaki Biomass Trees Robots |
| url | https://hdl.handle.net/20.500.11939/8937 |
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