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Reflectance assessment of mite effects on apple trees
Abstract
Reflectance measurements were conducted in field plots of Golden Smoothee 2038 apple cultivar subjected to different levels of mite attack (from 0 to 500 cumulative mite days) over a 2-year period. Chlorophyll concentration decreased and carotenoid/chlorophyll a ratio increased with increasing level of attack. Classical reflectance indices such as red edge wavelength or the Normalized Difference Vegetation Index were unable to distinguish among treatments. On the other hand, spectral indices based on carotenoid/chlorophyll a (SRPI R430/R680) and chlorophyll degradation (Normalized Phaeophytinization Index calculated as (R415-R435)/(R435 +R415)) were correlated with the level of attack. These reflectance indices show potential uses of visible reflectance as non-invasive, non-destructive techniques for detection of mite effects.
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Cited by
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Velusamy, P., Rajendran, S., Mahendran, R. K., Naseer, S., Shafiq, M., & Choi, J.-G. (2021) · Energies · doi:10.3390/en15010217 · Cited by 303
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
- PEN¯UELAS, J., FILELLA, I., LLORET, P., MUN¯OZ, F., & VILAJELIU, M.
- Venue
- International Journal of Remote Sensing
- Publisher
- Informa UK Limited
- Published
- 1995-09-20
- Volume
- 16
- Issue
- 14
- Pages
- 2727-2733
- ISSN
- 0143-1161 (ISSN-L)
- 1366-5901
- OpenAlex
- W2107167209
- Cited by
- 280
- References
- 0
- FWCI
- 1.71
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Reflectance assessment of mite effects on apple trees. https://app.cochat.ai/papers/10.1080/01431169508954588
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- PEN¯UELAS, J., FILELLA, I., LLORET, P., MUN¯OZ, F., & VILAJELIU, M. (1995). Reflectance assessment of mite effects on apple trees. International Journal of Remote Sensing. https://doi.org/10.1080/01431169508954588
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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.
