Search: onr:"swepub:oai:research.chalmers.se:250673cd-3dbd-4d14-aa9a-d53941290ff7" >
Stress Detection Us...
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Ahlman, Linnéa,1987Chalmers tekniska högskola,Chalmers University of Technology
(author)
Stress Detection Using Proximal Sensing of Chlorophyll Fluorescence on the Canopy Level
- Article/chapterEnglish2021
Publisher, publication year, extent ...
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2021-08-27
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MDPI AG,2021
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electronicrdacarrier
Numbers
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LIBRIS-ID:oai:research.chalmers.se:250673cd-3dbd-4d14-aa9a-d53941290ff7
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https://doi.org/10.3390/agriengineering3030042DOI
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https://research.chalmers.se/publication/526033URI
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https://res.slu.se/id/publ/113164URI
Supplementary language notes
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Language:English
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Summary in:English
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Classification
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Subject category:art swepub-publicationtype
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Subject category:ref swepub-contenttype
Notes
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Chlorophyll fluorescence is interesting for phenotyping applications as it is rich in biological information and can be measured remotely and non-destructively. There are several techniques for measuring and analysing this signal. However, the standard methods use rather extreme conditions, e.g., saturating light and dark adaption, which are difficult to accommodate in the field or in a greenhouse and, hence, limit their use for high-throughput phenotyping. In this article, we use a different approach, extracting plant health information from the dynamics of the chlorophyll fluorescence induced by a weak light excitation and no dark adaption, to classify plants as healthy or unhealthy. To evaluate the method, we scanned over a number of species (lettuce, lemon balm, tomato, basil, and strawberries) exposed to either abiotic stress (drought and salt) or biotic stress factors (root infection using Pythium ultimum and leaf infection using Powdery mildew Podosphaera aphanis ). Our conclusions are that, for abiotic stress, the proposed method was very successful, while, for powdery mildew, a method with spatial resolution would be desirable due to the nature of the infection, i.e., point-wise spread. Pythium infection on the roots is not visually detectable in the same way as powdery mildew; however, it affects the whole plant, making the method an interesting option for Pythium detection. However, further research is necessary to determine the limit of infection needed to detect the stress with the proposed method.
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Added entries (persons, corporate bodies, meetings, titles ...)
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Bånkestad, DanielHeliospectra AB
(author)
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Khalil, SammarSwedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Biosystem och teknologi,Department of Biosystems and Technology,Sveriges lantbruksuniversitet (SLU),Swedish University of Agricultural Sciences (SLU)(Swepub:slu)50383
(author)
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Bergstrand, Karl-JohanSwedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Biosystem och teknologi,Department of Biosystems and Technology,Sveriges lantbruksuniversitet (SLU),Swedish University of Agricultural Sciences (SLU)(Swepub:slu)50990
(author)
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Wik, Torsten,1968Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)tw
(author)
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Chalmers tekniska högskolaHeliospectra AB
(creator_code:org_t)
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Sveriges lantbruksuniversitet
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In:AgriEngineering: MDPI AG3:3, s. 648-6682624-7402
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