The DOI matches its Crossref record.
An Agricultural Mobile Robot with Vision-Based Perception for Mechanical Weed Control
Overview
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Citations
Cited by
Talaviya, T., Shah, D., Patel, N., Yagnik, H., & Shah, M. (2020) · Artificial Intelligence in Agriculture · doi:10.1016/j.aiia.2020.04.002 · Cited by 915
Hamuda, E., Mc Ginley, B., Glavin, M., & Jones, E. (2017) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2016.11.021 · Cited by 267
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
Metadata
- Authors
- Åstrand, B., & Baerveldt, A.-J.
- Venue
- Autonomous Robots
- Published
- 2002-07
- Volume
- 13
- Issue
- 1
- Pages
- 21-35
- ISSN
- 0929-5593 (ISSN-L)
- 1573-7527
- OpenAlex
- W1525257406
- Cited by
- 325
- References
- 0
- FWCI
- 4.09
- Type
- journal article
- Language
- en
- Open access
- closed
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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: An Agricultural Mobile Robot with Vision-Based Perception for Mechanical Weed Control. https://app.cochat.ai/papers/10.1023/a:1015674004201
- The paper
- Åstrand, B., & Baerveldt, A.-J. (2002). An Agricultural Mobile Robot with Vision-Based Perception for Mechanical Weed Control. Autonomous Robots. https://doi.org/10.1023/a%3A1015674004201
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.
