The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Automatic segmentation of relevant textures in agricultural images
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Machine vision detection parameters for plant species identification:
Meyer, G. E., Hindman, T. W., & Laksmi, K. (1999) · SPIE Proceedings · doi:10.1117/12.336896 · Cited by 187
Cited by
A survey of image processing techniques for plant extraction and segmentation in the field
Hamuda, E., Glavin, M., & Jones, E. (2016) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2016.04.024 · Cited by 587
Agricultural Robotics: Unmanned Robotic Service Units in Agricultural Tasks
Auat Cheein, F. A., & Carelli, R. (2013) · IEEE Industrial Electronics Magazine · doi:10.1109/mie.2013.2252957 · Cited by 231
Wheat ear counting in-field conditions: High throughput and low-cost approach using RGB images
Fernandez-Gallego, J. A., Kefauver, S. C., Gutiérrez, N. A., Nieto-Taladriz, M. T., & Araus, J. L. (2018) · Plant Methods · doi:10.1186/s13007-018-0289-4 · Cited by 173
Metadata
- Authors
- Guijarro, M., Pajares, G., Riomoros, I., Herrera, P. J., Burgos-Artizzu, X. P., & Ribeiro, A.
- Venue
- Computers and Electronics in Agriculture
- Publisher
- Elsevier BV
- Published
- 2011-01
- Volume
- 75
- Issue
- 1
- Pages
- 75-83
- ISSN
- 0168-1699 (ISSN-L)
- OpenAlex
- W2039952872
- Cited by
- 387
- References
- 1
- FWCI
- 10.19
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Automatic segmentation of relevant textures in agricultural images. https://app.cochat.ai/papers/10.1016/j.compag.2010.09.013
- The paper
- Guijarro, M., Pajares, G., Riomoros, I., Herrera, P. J., Burgos-Artizzu, X. P., & Ribeiro, A. (2011). Automatic segmentation of relevant textures in agricultural images. Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2010.09.013
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
