EcoBOT: an AI/ML enabled automated phenotyping capability for model plants
- DOI
- 10.3389/fpls.2025.1633557
- Published
- 2025-12-02
- Container
- Frontiers in Plant Science
- Publisher
- Frontiers Media SA
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.3389/fpls.2025.1633557,
title = {EcoBOT: an AI/ML enabled automated phenotyping capability for model plants},
author = {Peter F. Andeer and Petrus H. Zwart and Daniela Ushizima and Marcus M. Noack and Lloyd T. Cornmesser and Thomas M. Vess and Zineb Sordo and Stephen Tan and Joseph Zorzi and Chelsea Hernandez and Vlastimil Novak and Yezhang Ding and John P. Vogel and Benjamin P. Bowen and James A. Sethian and Trent R. Northen},
year = {2025},
journal = {Frontiers in Plant Science},
doi = {10.3389/fpls.2025.1633557},
url = {https://doi.org/10.3389/fpls.2025.1633557}
}RIS
TY - JOUR TI - EcoBOT: an AI/ML enabled automated phenotyping capability for model plants AU - Peter F. Andeer AU - Petrus H. Zwart AU - Daniela Ushizima AU - Marcus M. Noack AU - Lloyd T. Cornmesser AU - Thomas M. Vess AU - Zineb Sordo AU - Stephen Tan AU - Joseph Zorzi AU - Chelsea Hernandez AU - Vlastimil Novak AU - Yezhang Ding AU - John P. Vogel AU - Benjamin P. Bowen AU - James A. Sethian AU - Trent R. Northen PY - 2025 JO - Frontiers in Plant Science DO - 10.3389/fpls.2025.1633557 UR - https://doi.org/10.3389/fpls.2025.1633557 ER -
APA
Andeer, P. F., Zwart, P. H., Ushizima, D., Noack, M. M., Cornmesser, L. T., Vess, T. M., Sordo, Z., Tan, S., Zorzi, J., Hernandez, C., Novak, V., Ding, Y., Vogel, J. P., Bowen, B. P., Sethian, J. A., & Northen, T. R. (2025). EcoBOT: an AI/ML enabled automated phenotyping capability for model plants. Frontiers in Plant Science. https://doi.org/10.3389/fpls.2025.1633557
Source records
- crossref · retrieved 2026-09-26T12:26:28.811Z