Close-range hyperspectral image analysis for the early detection of stress responses in individual plants in a high-throughput phenotyping platform
- Author
- Mohd Shahrimie Mohd Asaari, Puneet Mishra, Stien Mertens (UGent) , Stijn Dhondt (UGent) , Dirk Inzé (UGent) , Nathalie Wuyts (UGent) and Paul Scheunders
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- Keywords
- LEAF OPTICAL-PROPERTIES, DROUGHT STRESS, REFLECTANCE SPECTRA, WATER-CONTENT, PHOTOSYNTHESIS, MODEL, CONDUCTANCE, RETRIEVAL, DEHYDRATION, COMPONENTS, Close-range hyperspectral imaging, Linear reflectance model, Standard, normal variate, Spectral similarity measure, Plant stress
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8563223
- MLA
- Asaari, Mohd Shahrimie Mohd, et al. “Close-Range Hyperspectral Image Analysis for the Early Detection of Stress Responses in Individual Plants in a High-Throughput Phenotyping Platform.” ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, vol. 138, 2018, pp. 121–38, doi:10.1016/j.isprsjprs.2018.02.003.
- APA
- Asaari, M. S. M., Mishra, P., Mertens, S., Dhondt, S., Inzé, D., Wuyts, N., & Scheunders, P. (2018). Close-range hyperspectral image analysis for the early detection of stress responses in individual plants in a high-throughput phenotyping platform. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 138, 121–138. https://doi.org/10.1016/j.isprsjprs.2018.02.003
- Chicago author-date
- Asaari, Mohd Shahrimie Mohd, Puneet Mishra, Stien Mertens, Stijn Dhondt, Dirk Inzé, Nathalie Wuyts, and Paul Scheunders. 2018. “Close-Range Hyperspectral Image Analysis for the Early Detection of Stress Responses in Individual Plants in a High-Throughput Phenotyping Platform.” ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 138: 121–38. https://doi.org/10.1016/j.isprsjprs.2018.02.003.
- Chicago author-date (all authors)
- Asaari, Mohd Shahrimie Mohd, Puneet Mishra, Stien Mertens, Stijn Dhondt, Dirk Inzé, Nathalie Wuyts, and Paul Scheunders. 2018. “Close-Range Hyperspectral Image Analysis for the Early Detection of Stress Responses in Individual Plants in a High-Throughput Phenotyping Platform.” ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 138: 121–138. doi:10.1016/j.isprsjprs.2018.02.003.
- Vancouver
- 1.Asaari MSM, Mishra P, Mertens S, Dhondt S, Inzé D, Wuyts N, et al. Close-range hyperspectral image analysis for the early detection of stress responses in individual plants in a high-throughput phenotyping platform. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING. 2018;138:121–38.
- IEEE
- [1]M. S. M. Asaari et al., “Close-range hyperspectral image analysis for the early detection of stress responses in individual plants in a high-throughput phenotyping platform,” ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, vol. 138, pp. 121–138, 2018.
@article{8563223,
author = {{Asaari, Mohd Shahrimie Mohd and Mishra, Puneet and Mertens, Stien and Dhondt, Stijn and Inzé, Dirk and Wuyts, Nathalie and Scheunders, Paul}},
issn = {{0924-2716}},
journal = {{ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING}},
keywords = {{LEAF OPTICAL-PROPERTIES,DROUGHT STRESS,REFLECTANCE SPECTRA,WATER-CONTENT,PHOTOSYNTHESIS,MODEL,CONDUCTANCE,RETRIEVAL,DEHYDRATION,COMPONENTS,Close-range hyperspectral imaging,Linear reflectance model,Standard,normal variate,Spectral similarity measure,Plant stress}},
language = {{eng}},
pages = {{121--138}},
title = {{Close-range hyperspectral image analysis for the early detection of stress responses in individual plants in a high-throughput phenotyping platform}},
url = {{http://doi.org/10.1016/j.isprsjprs.2018.02.003}},
volume = {{138}},
year = {{2018}},
}
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