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Vineyard monitoring using an autonomous ground robot embedding multispectral imaging, LiDAR and 5G communication for edge computing
Cita
Barrientos Cruz, Antonio 
ORCID: https://orcid.org/0000-0003-1691-3907, Gómez del Campo G. Valcárcel, María Victoria ORCID: https://orcid.org/0000-0003-4488-586X, Ortuño, Alma, Cañizares Álvarez, Irene, Montoya Grijalba, Vanesa, Orbea Jerez, David Rolando ORCID: https://orcid.org/0000-0003-1885-5042, Cerro Giner, Jaime del ORCID: https://orcid.org/0000-0003-4893-2571, Atencia Payares, Luz Karime ORCID: https://orcid.org/0000-0003-3167-9995, Moya Gonzalez, Adolfo ORCID: https://orcid.org/0000-0001-7313-1851, Diezma Iglesias, Belen ORCID: https://orcid.org/0000-0001-6882-2842, Hernández Sánchez, Natalia ORCID: https://orcid.org/0000-0001-5710-2567, Muñoz García, Miguel Angel ORCID: https://orcid.org/0000-0002-3670-8989, Arias, Marcos and Valero Ubierna, Constantino ORCID: https://orcid.org/0000-0003-4473-3209
(2025).
Vineyard monitoring using an autonomous ground robot embedding multispectral imaging, LiDAR and 5G communication for edge computing.
En: "15th European Conference on Precision Agriculture", 29 Junio - 3 Julio 2025, UPC, Barcelona. ISBN 9789004725232.
https://doi.org/10.1163/9789004725232_128.
ORCID: https://orcid.org/0000-0003-1691-3907, Gómez del Campo G. Valcárcel, María Victoria ORCID: https://orcid.org/0000-0003-4488-586X, Ortuño, Alma, Cañizares Álvarez, Irene, Montoya Grijalba, Vanesa, Orbea Jerez, David Rolando ORCID: https://orcid.org/0000-0003-1885-5042, Cerro Giner, Jaime del ORCID: https://orcid.org/0000-0003-4893-2571, Atencia Payares, Luz Karime ORCID: https://orcid.org/0000-0003-3167-9995, Moya Gonzalez, Adolfo ORCID: https://orcid.org/0000-0001-7313-1851, Diezma Iglesias, Belen ORCID: https://orcid.org/0000-0001-6882-2842, Hernández Sánchez, Natalia ORCID: https://orcid.org/0000-0001-5710-2567, Muñoz García, Miguel Angel ORCID: https://orcid.org/0000-0002-3670-8989, Arias, Marcos and Valero Ubierna, Constantino ORCID: https://orcid.org/0000-0003-4473-3209
(2025).
Vineyard monitoring using an autonomous ground robot embedding multispectral imaging, LiDAR and 5G communication for edge computing.
En: "15th European Conference on Precision Agriculture", 29 Junio - 3 Julio 2025, UPC, Barcelona. ISBN 9789004725232.
https://doi.org/10.1163/9789004725232_128.
Descripción
| Título: | Vineyard monitoring using an autonomous ground robot embedding multispectral imaging, LiDAR and 5G communication for edge computing |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 15th European Conference on Precision Agriculture |
| Fechas del Evento: | 29 Junio - 3 Julio 2025 |
| Lugar del Evento: | UPC, Barcelona |
| Título del Libro: | Precision agriculture’25 : Papers presented at the 15th European Conference on Precision Agriculture (ECPA) |
| Fecha: | Julio 2025 |
| ISBN: | 9789004725232 |
| Volumen: | 1 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | sensors, robotics, camera, lidar, crop modelling, real-time data |
| Escuela: | E.T.S. de Ingeniería Agronómica, Alimentaria y de Biosistemas (UPM) |
| Departamento: | Ingeniería Agroforestal |
| Grupo Investigación UPM: | Técnicas Avanzadas en Agroalimentación LPF-TAGRALIA |
| Licencias Creative Commons: | Reconocimiento |
Resumen
A robotic vineyard monitoring system embedding high resolution and data intensive sensors was designed. The rationale of the design is to exploit the communication capabilities of 5G technologies in order to use edge computing for analysing data. The monitoring system includes both a robot with multispectral imaging and 3D LiDAR and a network of field sensors. An experiment was set to test the monitoring system in a commercial Cabernet Sauvignon vineyard in the province of Toledo. The monitoring was made on 50 vines on which 5 contrasted means of managing the canopy and its growth were implemented. Physiological parameters of the vine were also recorded, and data on the quantity and quality of grapes were acquired. Preliminary results show that it is possible to extract parameters from the database that allow the evolution of the crop to be followed, obtaining relevant information to
Proyectos asociados
Tipo
Código
Acrónimo
Responsable
Título
Sin especificar
Sin especificar
Agro 5G
Constantino Valero
"Sistema piloto de aplicación de la tecnología 5G orientado a la estimación de la cosecha en un viñedo haciendo uso de la Robótica y la Inteligencia Artificial, Sensores IoT y tecnología 5G (AGRO 5G)” Proyecto tipo art 60, Fundación Premio Arce
Más información
| ID de Registro: | 92031 |
|---|---|
| Identificador DC: | https://oa.upm.es/92031/ |
| Identificador OAI: | oai:oa.upm.es:92031 |
| Identificador DOI: | 10.1163/9789004725232_128 |
| URL Oficial: | https://brill.com/edcollchap-oa/book/9789004725232... |
| Depositado por: | Profesor Constantino Valero Ubierna |
| Depositado el: | 25 Nov 2025 11:57 |
| Ultima Modificación: | 25 Nov 2025 11:57 |
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