The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Dynamic monitoring of NDVI in wheat agronomy and breeding trials using an unmanned aerial vehicle
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Citations
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2025) · doi:10.32614/r.manuals · Cited by 352,181
Red and photographic infrared linear combinations for monitoring vegetation
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A decimal code for the growth stages of cereals
ZADOKS, J. C., CHANG, T. T., & KONZAK, C. F. (1974) · Weed Research · doi:10.1111/j.1365-3180.1974.tb01084.x · Cited by 10,173
Breeding Technologies to Increase Crop Production in a Changing World
Tester, M., & Langridge, P. (2010) · Science · doi:10.1126/science.1183700 · Cited by 2,322
The application of small unmanned aerial systems for precision agriculture: a review
Zhang, C., & Kovacs, J. M. (2012) · Precision Agriculture · doi:10.1007/s11119-012-9274-5 · Cited by 2,012
Mulla, D. J. (2013) · Biosystems Engineering · doi:10.1016/j.biosystemseng.2012.08.009 · Cited by 1,982
Field high-throughput phenotyping: the new crop breeding frontier
Araus, J. L., & Cairns, J. E. (2014) · Trends in Plant Science · doi:10.1016/j.tplants.2013.09.008 · Cited by 1,817
Raun, W. R., Solie, J. B., Johnson, G. V., Stone, M. L., Mullen, R. W., Freeman, K. W., Thomason, W. E., & Lukina, E. V. (2002) · Agronomy Journal · doi:10.2134/agronj2002.0815 · Cited by 782
Plant Adaptation and Crop Improvement
(1996) · doi:10.1079/9780851991085.0000 · Cited by 745
Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging
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Cited by
van Eeuwijk, F. A., Bustos-Korts, D., Millet, E. J., Boer, M. P., Kruijer, W., Thompson, A., Malosetti, M., Iwata, H., Quiroz, R., Kuppe, C., et al. (2019) · Plant Science · doi:10.1016/j.plantsci.2018.06.018 · Cited by 217
“Common proxies using this approach are the normalized difference vegetation index (NDVI) to characterize biomass accumulation dynamics or canopy temperature to identify drought-tolerant genotypes [18,28,30,31].”
BackgroundMethodSelf-citation
Metadata
- Authors
- Duan, T., Chapman, S. C., Guo, Y., & Zheng, B.
- Venue
- Field Crops Research
- Publisher
- Elsevier BV
- Published
- 2017-08
- Volume
- 210
- Pages
- 71-80
- ISSN
- 0378-4290 (ISSN-L)
- OpenAlex
- W2622954938
- Cited by
- 282
- References
- 40
- FWCI
- 19.44
- 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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Dynamic monitoring of NDVI in wheat agronomy and breeding trials using an unmanned aerial vehicle. https://app.cochat.ai/papers/10.1016/j.fcr.2017.05.025
- The paper
- Duan, T., Chapman, S. C., Guo, Y., & Zheng, B. (2017). Dynamic monitoring of NDVI in wheat agronomy and breeding trials using an unmanned aerial vehicle. Field Crops Research. https://doi.org/10.1016/j.fcr.2017.05.025
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.
