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...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
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Public Library of Science (PLoS)
2023-01-01
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Series: | PLoS ONE |
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079087/?tool=EBI |
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author | Gustavo Pereyra Irujo Paz Bernaldo Luciano Velázquez Antoni Pérez Celeste Molina Favero Alejandrina Egozcue |
author_facet | Gustavo Pereyra Irujo Paz Bernaldo Luciano Velázquez Antoni Pérez Celeste Molina Favero Alejandrina Egozcue |
author_sort | Gustavo Pereyra Irujo |
collection | DOAJ |
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. |
first_indexed | 2024-04-09T18:58:13Z |
format | Article |
id | doaj.art-78dcbd6281f24a17a67a6810318a74f8 |
institution | Directory Open Access Journal |
issn | 1932-6203 |
language | English |
last_indexed | 2024-04-09T18:58:13Z |
publishDate | 2023-01-01 |
publisher | Public Library of Science (PLoS) |
record_format | Article |
series | PLoS ONE |
spelling | doaj.art-78dcbd6281f24a17a67a6810318a74f82023-04-09T05:32:17ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01184Open Science Drone Toolkit: Open source hardware and software for aerial data captureGustavo Pereyra IrujoPaz BernaldoLuciano VelázquezAntoni PérezCeleste Molina FaveroAlejandrina EgozcueDespite 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.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079087/?tool=EBI |
spellingShingle | Gustavo Pereyra Irujo Paz Bernaldo Luciano Velázquez Antoni Pérez Celeste Molina Favero Alejandrina Egozcue Open Science Drone Toolkit: Open source hardware and software for aerial data capture PLoS ONE |
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 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079087/?tool=EBI |
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