Open Science Drone Toolkit: Open source hardware and software for aerial data capture
Despite the increased access to scientific publications and data as a result of open science initiatives, access to scientific tools remains limited. Uncrewed aerial vehicles (UAVs, or drones) can be a powerful tool for research in disciplines such as agriculture and environmental sciences, but thei...
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| Format: | info:ar-repo/semantics/artículo |
| Language: | Inglés |
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Public Library of Science
2024
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| Online Access: | http://hdl.handle.net/20.500.12123/17644 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0284184 https://doi.org/10.1371/journal.pone.0284184 |
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| author | Pereyra Irujo, Gustavo Adrian Bernaldo, Paz Velázquez, Luciano Pérez, Antoni Molina Favero, Maria Celeste Egozcue, Alejandrina |
| author_browse | Bernaldo, Paz Egozcue, Alejandrina Molina Favero, Maria Celeste Pereyra Irujo, Gustavo Adrian Pérez, Antoni Velázquez, Luciano |
| author_facet | Pereyra Irujo, Gustavo Adrian Bernaldo, Paz Velázquez, Luciano Pérez, Antoni Molina Favero, Maria Celeste Egozcue, Alejandrina |
| author_sort | Pereyra Irujo, Gustavo Adrian |
| collection | INTA Digital |
| description | Despite the increased access to scientific publications and data as a result of open science initiatives, access to scientific tools remains limited. Uncrewed aerial vehicles (UAVs, or drones) can be a powerful tool for research in disciplines such as agriculture and environmental sciences, but their use in research is currently dominated by proprietary, closed source tools. The objective of this work was to collect, curate, organize and test a set of open source tools for aerial data capture for research purposes. The Open Science Drone Toolkit was built through a collaborative and iterative process by more than 100 people in five countries, and comprises an open-hardware autonomous drone and off-the-shelf hardware, open-source software, and guides and protocols that enable the user to perform all the necessary tasks to obtain aerial data. Data obtained with this toolkit over a wheat field was compared to data from satellite imagery and a commercial hand-held sensor, finding a high correlation for both instruments. Our results demonstrate the possibility of capturing research-grade aerial data using affordable, accessible, and customizable open source software and hardware, and using open workflows. |
| format | info:ar-repo/semantics/artículo |
| id | INTA17644 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Public Library of Science |
| publisherStr | Public Library of Science |
| record_format | dspace |
| spelling | INTA176442024-05-07T10:20:17Z Open Science Drone Toolkit: Open source hardware and software for aerial data capture Pereyra Irujo, Gustavo Adrian Bernaldo, Paz Velázquez, Luciano Pérez, Antoni Molina Favero, Maria Celeste Egozcue, Alejandrina Vehículo Aéreo no Tripulado Imágenes Índice de Vegetación Agricultura Ciencia Abierta Unmanned Aerial Vehicles Imagery Vegetation Index Agriculture Open Science Drones Software de Código Abierto Despite the increased access to scientific publications and data as a result of open science initiatives, access to scientific tools remains limited. Uncrewed aerial vehicles (UAVs, or drones) can be a powerful tool for research in disciplines such as agriculture and environmental sciences, but their use in research is currently dominated by proprietary, closed source tools. The objective of this work was to collect, curate, organize and test a set of open source tools for aerial data capture for research purposes. The Open Science Drone Toolkit was built through a collaborative and iterative process by more than 100 people in five countries, and comprises an open-hardware autonomous drone and off-the-shelf hardware, open-source software, and guides and protocols that enable the user to perform all the necessary tasks to obtain aerial data. Data obtained with this toolkit over a wheat field was compared to data from satellite imagery and a commercial hand-held sensor, finding a high correlation for both instruments. Our results demonstrate the possibility of capturing research-grade aerial data using affordable, accessible, and customizable open source software and hardware, and using open workflows. EEA Balcarce Fil: Pereyra Irujo, Gustavo Adrian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Innovación para la Producción Agropecuaria y el Desarrollo Sostenible; Argentina Fil: Bernaldo, Paz. Actividad privada; Chile Fil: Velázquez, Luciano. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina Fil: Pérez, Antoni. Actividad privada; Chile Fil: Molina Favero, María Celeste. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Innovación para la Producción Agropecuaria y el Desarrollo Sostenible; Argentina Fil: Egozcue, Alejandrina. Actividad privada; Argentina 2024-05-07T10:11:46Z 2024-05-07T10:11:46Z 2023-04-06 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/17644 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0284184 https://doi.org/10.1371/journal.pone.0284184 eng info:eu-repograntAgreement/INTA/2019-PD-E3-I060-001, Adaptación de los cultivos al cambio climático: Bases ecofisiológicas para el manejo y la mejora genética info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf Public Library of Science Plos One 18 (4) : e0284184. (2023) |
| spellingShingle | Vehículo Aéreo no Tripulado Imágenes Índice de Vegetación Agricultura Ciencia Abierta Unmanned Aerial Vehicles Imagery Vegetation Index Agriculture Open Science Drones Software de Código Abierto Pereyra Irujo, Gustavo Adrian Bernaldo, Paz Velázquez, Luciano Pérez, Antoni Molina Favero, Maria Celeste Egozcue, Alejandrina Open Science Drone Toolkit: Open source hardware and software for aerial data capture |
| title | Open Science Drone Toolkit: Open source hardware and software for aerial data capture |
| title_full | Open Science Drone Toolkit: Open source hardware and software for aerial data capture |
| title_fullStr | Open Science Drone Toolkit: Open source hardware and software for aerial data capture |
| title_full_unstemmed | Open Science Drone Toolkit: Open source hardware and software for aerial data capture |
| title_short | Open Science Drone Toolkit: Open source hardware and software for aerial data capture |
| title_sort | open science drone toolkit open source hardware and software for aerial data capture |
| topic | Vehículo Aéreo no Tripulado Imágenes Índice de Vegetación Agricultura Ciencia Abierta Unmanned Aerial Vehicles Imagery Vegetation Index Agriculture Open Science Drones Software de Código Abierto |
| url | http://hdl.handle.net/20.500.12123/17644 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0284184 https://doi.org/10.1371/journal.pone.0284184 |
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