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...
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Universidad Técnica Federico Santa María, Chile
2021
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| Acceso en línea: | https://repositorio.unnoba.edu.ar/xmlui/handle/23601/145 |
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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 |