The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance
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Citations
Cites
Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421
Boyd, S., & Vandenberghe, L. (2004) · doi:10.1017/cbo9780511804441 · Cited by 56,601
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
Jones, J. D. G., & Dangl, J. L. (2006) · Nature · doi:10.1038/nature05286 · Cited by 13,177
Top 10 algorithms in data mining
Wu, X., Kumar, V., Ross Quinlan, J., Ghosh, J., Yang, Q., Motoda, H., McLachlan, G. J., Ng, A., Liu, B., Yu, P. S., et al. (2008) · Knowledge and Information Systems · doi:10.1007/s10115-007-0114-2 · Cited by 5,667
Cited by
Advanced methods of plant disease detection. A review
Martinelli, F., Scalenghe, R., Davino, S., Panno, S., Scuderi, G., Ruisi, P., Villa, P., Stroppiana, D., Boschetti, M., Goulart, L. R., et al. (2015) · Agronomy for Sustainable Development · doi:10.1007/s13593-014-0246-1 · Cited by 964
Jiang, P., Chen, Y., Liu, B., He, D., & Liang, C. (2019) · IEEE Access · doi:10.1109/access.2019.2914929 · Cited by 892
Recent advances in sensing plant diseases for precision crop protection
Mahlein, A.-K., Oerke, E.-C., Steiner, U., & Dehne, H.-W. (2012) · European Journal of Plant Pathology · doi:10.1007/s10658-011-9878-z · Cited by 579
Self-citationAli, I., Greifeneder, F., Stamenkovic, J., Neumann, M., & Notarnicola, C. (2015) · Remote Sensing · doi:10.3390/rs71215841 · Cited by 508
Khan, A., Vibhute, A. D., Mali, S., & Patil, C. H. (2022) · Ecological Informatics · doi:10.1016/j.ecoinf.2022.101678 · Cited by 382
Metadata
- Authors
- Rumpf, T., Mahlein, A.-K., Steiner, U., Oerke, E.-C., Dehne, H.-W., & Plümer, L.
- Venue
- Computers and Electronics in Agriculture
- Publisher
- Elsevier BV
- Published
- 2010-10
- Volume
- 74
- Issue
- 1
- Pages
- 91-99
- ISSN
- 0168-1699 (ISSN-L)
- OpenAlex
- W2014408679
- Cited by
- 978
- References
- 6
- FWCI
- 14.92
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance. https://app.cochat.ai/papers/10.1016/j.compag.2010.06.009
- The paper
- Rumpf, T., Mahlein, A.-K., Steiner, U., Oerke, E.-C., Dehne, H.-W., & Plümer, L. (2010). Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance. Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2010.06.009
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.
