The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.
Close range hyperspectral imaging of plants: A review
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Cites
Smoothing and Differentiation of Data by Simplified Least Squares Procedures.
Savitzky, A., & Golay, M. J. E. (1964) · Analytical Chemistry · doi:10.1021/ac60214a047 · Cited by 21,904
A review of feature selection techniques in bioinformatics
Saeys, Y., Inza, I., & Larrañaga, P. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm344 · Cited by 5,244
Standard Normal Variate Transformation and De-Trending of Near-Infrared Diffuse Reflectance Spectra
Barnes, R. J., Dhanoa, M. S., & Lister, S. J. (1989) · Applied Spectroscopy · doi:10.1366/0003702894202201 · Cited by 3,867
On the mean accuracy of statistical pattern recognizers
Hughes, G. (1968) · IEEE Transactions on Information Theory · doi:10.1109/tit.1968.1054102 · Cited by 2,859
Murray, D. D., Suzuki, K., Law, M., Trebicka, J., Neuhaus, J., Wentworth, D., Johnson, M., Vjecha, M. J., Kelleher, A. D., Emery, S., et al. (2015) · PLOS ONE · doi:10.1371/journal.pone.0139981 · Cited by 2,740
Remote Sensing of the Environment: An Earth Resource Perspective
Jensen, J. R. (2000) · Cited by 2,448
PROSPECT: A model of leaf optical properties spectra
Jacquemoud, S., & Baret, F. (1990) · Remote Sensing of Environment · doi:10.1016/0034-4257(90)90100-z · Cited by 2,400
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
Phenomics – technologies to relieve the phenotyping bottleneck
Furbank, R. T., & Tester, M. (2011) · Trends in Plant Science · doi:10.1016/j.tplants.2011.09.005 · Cited by 1,675
Hyperspectral imaging – an emerging process analytical tool for food quality and safety control
GOWEN, A., ODONNELL, C., CULLEN, P., DOWNEY, G., & FRIAS, J. (2007) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2007.06.001 · Cited by 1,412
Metadata
- Authors
- Mishra, P., Asaari, M. S. M., Herrero-Langreo, A., Lohumi, S., Diezma, B., & Scheunders, P.
- Venue
- Biosystems Engineering
- Publisher
- Elsevier BV
- Published
- 2017-12
- Volume
- 164
- Pages
- 49-67
- ISSN
- 1537-5110 (ISSN-L)
- OpenAlex
- W2766610839
- Cited by
- 319
- References
- 72
- FWCI
- 13.90
- Type
- journal article
- Language
- en
- Open access
- green
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- The paper
- Mishra, P., Asaari, M. S. M., Herrero-Langreo, A., Lohumi, S., Diezma, B., & Scheunders, P. (2017). Close range hyperspectral imaging of plants: A review. Biosystems Engineering. https://doi.org/10.1016/j.biosystemseng.2017.09.009
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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.
