An evaluation of inexpensive methods for root image acquisition when using rhizotrons Article Swipe
Awaz Mohamed
,
Yogan Monnier
,
Zhun Mao
,
Guillaume Lobet
,
Jean‐Luc Maeght
,
Merlin Ramel
,
Alexia Stokes
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1186/s13007-017-0160-z
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1186/s13007-017-0160-z
Our results show that inexpensive scanning and automated methods provide correct measurements of root elongation and length (but not diameter when using the time-lapse camera). These methods are capable of detecting fine roots to a diameter of 0.1 mm and can therefore be selected by the user depending on the data required.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1186/s13007-017-0160-z
- https://plantmethods.biomedcentral.com/counter/pdf/10.1186/s13007-017-0160-z
- OA Status
- gold
- Cited By
- 41
- References
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- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2592930755
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2592930755Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1186/s13007-017-0160-zDigital Object Identifier
- Title
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An evaluation of inexpensive methods for root image acquisition when using rhizotronsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2017Year of publication
- Publication date
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2017-03-07Full publication date if available
- Authors
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Awaz Mohamed, Yogan Monnier, Zhun Mao, Guillaume Lobet, Jean‐Luc Maeght, Merlin Ramel, Alexia StokesList of authors in order
- Landing page
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https://doi.org/10.1186/s13007-017-0160-zPublisher landing page
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https://plantmethods.biomedcentral.com/counter/pdf/10.1186/s13007-017-0160-zDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://plantmethods.biomedcentral.com/counter/pdf/10.1186/s13007-017-0160-zDirect OA link when available
- Concepts
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Scanner, Tracing, Root (linguistics), Computer science, Environmental science, Artificial intelligence, Remote sensing, Computer vision, Geology, Philosophy, Linguistics, Operating systemTop concepts (fields/topics) attached by OpenAlex
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41Total citation count in OpenAlex
- Citations by year (recent)
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2025: 5, 2024: 8, 2023: 4, 2022: 7, 2021: 4Per-year citation counts (last 5 years)
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50Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Our | 0 |
| abstract_inverted_index.and | 6, 15, 39 |
| abstract_inverted_index.are | 27 |
| abstract_inverted_index.can | 40 |
| abstract_inverted_index.not | 18 |
| abstract_inverted_index.the | 22, 45, 49 |
| abstract_inverted_index.(but | 17 |
| abstract_inverted_index.data | 50 |
| abstract_inverted_index.fine | 31 |
| abstract_inverted_index.root | 13 |
| abstract_inverted_index.show | 2 |
| abstract_inverted_index.that | 3 |
| abstract_inverted_index.user | 46 |
| abstract_inverted_index.when | 20 |
| abstract_inverted_index.These | 25 |
| abstract_inverted_index.roots | 32 |
| abstract_inverted_index.using | 21 |
| abstract_inverted_index.length | 16 |
| abstract_inverted_index.capable | 28 |
| abstract_inverted_index.correct | 10 |
| abstract_inverted_index.methods | 8, 26 |
| abstract_inverted_index.provide | 9 |
| abstract_inverted_index.results | 1 |
| abstract_inverted_index.camera). | 24 |
| abstract_inverted_index.diameter | 19, 35 |
| abstract_inverted_index.scanning | 5 |
| abstract_inverted_index.selected | 43 |
| abstract_inverted_index.automated | 7 |
| abstract_inverted_index.depending | 47 |
| abstract_inverted_index.detecting | 30 |
| abstract_inverted_index.required. | 51 |
| abstract_inverted_index.therefore | 41 |
| abstract_inverted_index.elongation | 14 |
| abstract_inverted_index.time-lapse | 23 |
| abstract_inverted_index.inexpensive | 4 |
| abstract_inverted_index.measurements | 11 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5083049454 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 7 |
| corresponding_institution_ids | https://openalex.org/I1294671590, https://openalex.org/I19894307, https://openalex.org/I4210121611, https://openalex.org/I4210166444 |
| citation_normalized_percentile.value | 0.95529193 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |