The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Evaluation of Digital Photography from Model Aircraft for Remote Sensing of Crop Biomass and Nitrogen Status
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Citations
Cites
The Molecular Basis of Visual Excitation
WALD, G. (1968) · Nature · doi:10.1038/219800a0 · Cited by 824 · cited 2×
“The spectral sensitivity of the digital camera (Figure 4) generally matched the spectral sensitivity of the normal human eye (Wald, 1968).”
Background
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
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
What good are unmanned aircraft systems for agricultural remote sensing and precision agriculture?
Hunt, E. R., & Daughtry, C. S. T. (2018) · International Journal of Remote Sensing · doi:10.1080/01431161.2017.1410300 · Cited by 325
Self-citationAlsalam, B. H. Y., Morton, K., Campbell, D., & Gonzalez, F. (2017) · 2017 IEEE Aerospace Conference · doi:10.1109/aero.2017.7943593 · Cited by 178
Chadwick, D. T., McDonnell, K. P., Brennan, L. P., Fagan, C. C., & Everard, C. D. (2014) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2013.11.006 · Cited by 62
Metadata
- Authors
- Hunt, E. R., Cavigelli, M., Daughtry, C. S. T., Mcmurtrey, J. E., & Walthall, C. L.
- Venue
- Precision Agriculture
- Published
- 2005-08
- Volume
- 6
- Issue
- 4
- Pages
- 359-378
- ISSN
- 1385-2256 (ISSN-L)
- 1573-1618
- OpenAlex
- W2123101917
- Cited by
- 573
- References
- 1
- FWCI
- 2.14
- Type
- journal article
- Language
- en
- Open access
- closed
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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
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- CoChat. (2026). Citation check: Evaluation of Digital Photography from Model Aircraft for Remote Sensing of Crop Biomass and Nitrogen Status. https://app.cochat.ai/papers/10.1007/s11119-005-2324-5
- The paper
- Hunt, E. R., Cavigelli, M., Daughtry, C. S. T., Mcmurtrey, J. E., & Walthall, C. L. (2005). Evaluation of Digital Photography from Model Aircraft for Remote Sensing of Crop Biomass and Nitrogen Status. Precision Agriculture. https://doi.org/10.1007/s11119-005-2324-5
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.
