The State of the Art in Root System Architecture Image Analysis Using Artificial Intelligence: A Review Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.34133/plantphenomics.0178
Roots are essential for acquiring water and nutrients to sustain and support plant growth and anchorage. However, they have been studied less than the aboveground traits in phenotyping and plant breeding until recent decades. In modern times, root properties such as morphology and root system architecture (RSA) have been recognized as increasingly important traits for creating more and higher quality food in the "Second Green Revolution". To address the paucity in RSA and other root research, new technologies are being investigated to fill the increasing demand to improve plants via root traits and overcome currently stagnated genetic progress in stable yields. Artificial intelligence (AI) is now a cutting-edge technology proving to be highly successful in many applications, such as crop science and genetic research to improve crop traits. A burgeoning field in crop science is the application of AI to high-resolution imagery in analyses that aim to answer questions related to crops and to better and more speedily breed desired plant traits such as RSA into new cultivars. This review is a synopsis concerning the origins, applications, challenges, and future directions of RSA research regarding image analyses using AI.
Related Topics
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.34133/plantphenomics.0178
- OA Status
- gold
- Cited By
- 25
- References
- 114
- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4393951598Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.34133/plantphenomics.0178Digital Object Identifier
- Title
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The State of the Art in Root System Architecture Image Analysis Using Artificial Intelligence: A ReviewWork title
- Type
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reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-01-01Full publication date if available
- Authors
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Brandon J. Weihs, D. Jo Heuschele, Zhou Tang, Larry M. York, Zhiwu Zhang, Zhanyou XuList of authors in order
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https://doi.org/10.34133/plantphenomics.0178Publisher landing page
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.34133/plantphenomics.0178Direct OA link when available
- Concepts
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Root (linguistics), Green Revolution, Crop, Agricultural engineering, Biotechnology, Biology, Computer science, Agronomy, Engineering, Ecology, Agriculture, Philosophy, LinguisticsTop concepts (fields/topics) attached by OpenAlex
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25Total citation count in OpenAlex
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2025: 19, 2024: 6Per-year citation counts (last 5 years)
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114Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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