Using a Structural Root System Model to Evaluate and Improve the Accuracy of Root Image Analysis Pipelines

Research article (Frontiers in Plant Science, 2017) · cited 50× · AI/ML
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Using a Structural Root System Model to Evaluate and Improve the Accuracy of Root Image Analysis Pipelines

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Using a Structural Root System Model to Evaluate and Improve the Accuracy of Root Image Analysis Pipelines is a scholarly article[1].

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  • Using a Structural Root System Model to Evaluate and Improve the Accuracy of Root Image Analysis Pipelines's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Using a Structural Root System Model to Evaluate and Improve the Accuracy of Root Image Analysis Pipelines. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-a-structural-root-system-model-to-evaluate-and-improve-the-accuracy-of-root-image-analysis-pipelines
MLA “Using a Structural Root System Model to Evaluate and Improve the Accuracy of Root Image Analysis Pipelines.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-a-structural-root-system-model-to-evaluate-and-improve-the-accuracy-of-root-image-analysis-pipelines.
BibTeX @misc{4ortxyz_using-a-structural-root-system-model-to-evaluate-and-improve-the-accuracy-of-root-image-analysis-pipelines_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using a Structural Root System Model to Evaluate and Improve the Accuracy of Root Image Analysis Pipelines}}, year = {2026}, url = {https://4ort.xyz/entity/using-a-structural-root-system-model-to-evaluate-and-improve-the-accuracy-of-root-image-analysis-pipelines}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using a Structural Root System Model to Evaluate and Improve the Accuracy of Root Image Analysis Pipelines — https://4ort.xyz/entity/using-a-structural-root-system-model-to-evaluate-and-improve-the-accuracy-of-root-image-analysis-pipelines (retrieved 2026-05-24)

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