Robotic data collection platform with artificial vision applied to precision agriculture

Precision agriculture currently requires increasingly robust and integrated technological supports to search and analyze the data it uses. On the other hand, the different types of sensors that currently exist provide information banks that in many cases, remain disconnected from the context in whic...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Serafino, Sandra, Cicerchia, Lucas Benjamín, Russo, Claudia, Ramón, Hugo
Otros Autores: 0000-0002-4140-3610
Formato: Parte de libro publishedVersion
Lenguaje:Inglés
Publicado: Universidad Técnica Federico Santa María, Chile 2021
Materias:
Acceso en línea:https://repositorio.unnoba.edu.ar/xmlui/handle/23601/145
Aporte de:
id I103-R405-23601-145
record_format dspace
spelling I103-R405-23601-1452021-07-26T16:51:22Z Robotic data collection platform with artificial vision applied to precision agriculture Serafino, Sandra Cicerchia, Lucas Benjamín Russo, Claudia Ramón, Hugo 0000-0002-4140-3610 0000-0003-0316-7896 0000-0002-0345-4783 0000-0003-1577-3092 Robotic platform Artificial vision Image Processing Precision Agriculture Precision agriculture currently requires increasingly robust and integrated technological supports to search and analyze the data it uses. On the other hand, the different types of sensors that currently exist provide information banks that in many cases, remain disconnected from the context in which they are obtain. This paper proposes a model of data collection in the field based on the use of a robotic autonomous navigation platform with tours inside or outside of trials. Its objective is to sense by artificial vision the different phenological stages of a crop throughout its development, integrate, process and inform them. This model is based on the use of RGB cameras and spectral cameras connected to a tracking system, digital signal processing techniques, and stereoscopic and geo-positioning navigation techniques. Fil: Serafino, Sandra. Universidad Nacional del Noroeste de la Provincia de Buenos. Instituto de Investigación y Transferencia en Tecnología (ITT) – (Centro CICPBA); Argentina Fil: Cicerchia, Benjamín. Universidad Nacional del Noroeste de la Provincia de Buenos. Instituto de Investigación y Transferencia en Tecnología (ITT) (Centro CICPBA); Argentina Fil: Russo, Claudia. Universidad Nacional del Noroeste de la Provincia de Buenos. Instituto de Investigación y Transferencia en Tecnología (ITT) – (Centro CICPBA); Argentina Fil: Ramón, Hugo. Universidad Nacional del Noroeste de la Provincia de Buenos. Instituto de Investigación y Transferencia en Tecnología (ITT) – (Centro CICPBA); Argentina Con referato 2021-07-26T16:51:22Z 2021-07-26T16:51:22Z 2019-09-26 info:eu-repo/semantics/bookPart info:ar-repo/semantics/parte de libro info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/bookPart info:ar-repo/semantics/parte de libro info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/bookPart info:ar-repo/semantics/parte de libro info:eu-repo/semantics/publishedVersion Serafino, S; Cicerchia, B.; Russo C., Ramón, H. (2019). Robotic data collection platform with artificial vision applied to precision agriculture (III International Conference on Agro Big Data and Decisions Support Systems in Agriculture. Decisions, Technologies and Innovation for the 2030 Agriculture. Universidad Técnica Federico Santa María (UTFSM), Valparaíso, Chile). 978-956-356-095-4 https://repositorio.unnoba.edu.ar/xmlui/handle/23601/145 eng info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ application/pdf application/pdf Universidad Técnica Federico Santa María, Chile Proceedings of the III International Conference on Agro BigData and Decision Support Systems in Agriculture
institution Universidad Nacional del Noroeste de la Provincia de Buenos Aires
institution_str I-103
repository_str R-405
collection Re DI Repositorio Digital UNNOBA
language Inglés
topic Robotic platform
Artificial vision
Image Processing
Precision Agriculture
spellingShingle Robotic platform
Artificial vision
Image Processing
Precision Agriculture
Serafino, Sandra
Cicerchia, Lucas Benjamín
Russo, Claudia
Ramón, Hugo
Robotic data collection platform with artificial vision applied to precision agriculture
topic_facet Robotic platform
Artificial vision
Image Processing
Precision Agriculture
description Precision agriculture currently requires increasingly robust and integrated technological supports to search and analyze the data it uses. On the other hand, the different types of sensors that currently exist provide information banks that in many cases, remain disconnected from the context in which they are obtain. This paper proposes a model of data collection in the field based on the use of a robotic autonomous navigation platform with tours inside or outside of trials. Its objective is to sense by artificial vision the different phenological stages of a crop throughout its development, integrate, process and inform them. This model is based on the use of RGB cameras and spectral cameras connected to a tracking system, digital signal processing techniques, and stereoscopic and geo-positioning navigation techniques.
author2 0000-0002-4140-3610
author_facet 0000-0002-4140-3610
Serafino, Sandra
Cicerchia, Lucas Benjamín
Russo, Claudia
Ramón, Hugo
format Parte de libro
Parte de libro
publishedVersion
Parte de libro
Parte de libro
publishedVersion
Parte de libro
Parte de libro
publishedVersion
author Serafino, Sandra
Cicerchia, Lucas Benjamín
Russo, Claudia
Ramón, Hugo
author_sort Serafino, Sandra
title Robotic data collection platform with artificial vision applied to precision agriculture
title_short Robotic data collection platform with artificial vision applied to precision agriculture
title_full Robotic data collection platform with artificial vision applied to precision agriculture
title_fullStr Robotic data collection platform with artificial vision applied to precision agriculture
title_full_unstemmed Robotic data collection platform with artificial vision applied to precision agriculture
title_sort robotic data collection platform with artificial vision applied to precision agriculture
publisher Universidad Técnica Federico Santa María, Chile
publishDate 2021
url https://repositorio.unnoba.edu.ar/xmlui/handle/23601/145
work_keys_str_mv AT serafinosandra roboticdatacollectionplatformwithartificialvisionappliedtoprecisionagriculture
AT cicerchialucasbenjamin roboticdatacollectionplatformwithartificialvisionappliedtoprecisionagriculture
AT russoclaudia roboticdatacollectionplatformwithartificialvisionappliedtoprecisionagriculture
AT ramonhugo roboticdatacollectionplatformwithartificialvisionappliedtoprecisionagriculture
_version_ 1850060759906648064