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Hyperspectral and Chlorophyll Fluorescence Imaging for Early Detection of Plant Diseases, with Special Reference to Fusarium spec. Infections on Wheat
Open accessAbstract
In recent years, market pressures have reinforced the demand to solve the problem of an increased occurrence of Fusarium head blight (FHB) in cereal production, especially in wheat. The symptoms of this disease are clearly detectable by means of image analysis. This technique can therefore be used to map occurrence and extent of Fusarium infections. From this perspective, a separate harvest in the field can be taken into consideration. Based on the application of chlorophyll fluorescence and hyperspectral imaging, characteristics, requirements and limitations of Fusarium detection on wheat, both in the field and in the laboratory, are discussed. While the modification of spectral signatures due to fungal infection allows its detection by hyperspectral imaging, the decreased physiological activity of tissues resulting from Fusarium impacts provides the base for CFI analyses. In addition, the two methods are compared in view of their usability for the detection of Fusarium, and different approaches for data analysis are presented.
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Cites
Chlorophyll fluorescence—a practical guide
Maxwell, K., & Johnson, G. N. (2000) · Journal of Experimental Botany · doi:10.1093/jexbot/51.345.659 · Cited by 9,347
Cited by
Plant disease identification using explainable 3D deep learning on hyperspectral images
Nagasubramanian, K., Jones, S., Singh, A. K., Sarkar, S., Singh, A., & Ganapathysubramanian, B. (2019) · Plant Methods · doi:10.1186/s13007-019-0479-8 · Cited by 394
Sander, M. (2019) · Environmental Science & Technology · doi:10.1021/acs.est.8b05208 · Cited by 319
New strategies on the application of artificial intelligence in the field of phytoremediation
Singh, P., Pani, A., Mujumdar, A. S., & Shirkole, S. S. (2023) · International Journal of Phytoremediation · doi:10.1080/15226514.2022.2090500 · Cited by 41
Metadata
- Authors
- Bauriegel, E., & Herppich, W.
- Venue
- Agriculture
- Publisher
- MDPI AG
- Published
- 2014-03-24
- Volume
- 4
- Issue
- 1
- Pages
- 32-57
- ISSN
- 2077-0472 (ISSN-L)
- OpenAlex
- W1984185202
- Cited by
- 173
- References
- 1
- FWCI
- 10.81
- Type
- journal article
- Language
- en
- Open access
- gold
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- CoChat. (2026). Citation check: Hyperspectral and Chlorophyll Fluorescence Imaging for Early Detection of Plant Diseases, with Special Reference to Fusarium spec. Infections on Wheat. https://app.cochat.ai/papers/10.3390/agriculture4010032
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- Bauriegel, E., & Herppich, W. (2014). Hyperspectral and Chlorophyll Fluorescence Imaging for Early Detection of Plant Diseases, with Special Reference to Fusarium spec. Infections on Wheat. Agriculture. https://doi.org/10.3390/agriculture4010032
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