SwePub
Sök i LIBRIS databas

  Utökad sökning

onr:"swepub:oai:research.chalmers.se:250673cd-3dbd-4d14-aa9a-d53941290ff7"
 

Sökning: onr:"swepub:oai:research.chalmers.se:250673cd-3dbd-4d14-aa9a-d53941290ff7" > Stress Detection Us...

  • Ahlman, Linnéa,1987Chalmers tekniska högskola,Chalmers University of Technology (författare)

Stress Detection Using Proximal Sensing of Chlorophyll Fluorescence on the Canopy Level

  • Artikel/kapitelEngelska2021

Förlag, utgivningsår, omfång ...

  • 2021-08-27
  • MDPI AG,2021
  • electronicrdacarrier

Nummerbeteckningar

  • LIBRIS-ID:oai:research.chalmers.se:250673cd-3dbd-4d14-aa9a-d53941290ff7
  • https://doi.org/10.3390/agriengineering3030042DOI
  • https://research.chalmers.se/publication/526033URI
  • https://res.slu.se/id/publ/113164URI

Kompletterande språkuppgifter

  • Språk:engelska
  • Sammanfattning på:engelska

Ingår i deldatabas

Klassifikation

  • Ämneskategori:art swepub-publicationtype
  • Ämneskategori:ref swepub-contenttype

Anmärkningar

  • 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.

Ämnesord och genrebeteckningar

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Bånkestad, DanielHeliospectra AB (författare)
  • 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 (författare)
  • 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 (författare)
  • Wik, Torsten,1968Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)tw (författare)
  • Chalmers tekniska högskolaHeliospectra AB (creator_code:org_t)
  • Sveriges lantbruksuniversitet

Sammanhörande titlar

  • Ingår i:AgriEngineering: MDPI AG3:3, s. 648-6682624-7402

Internetlänk

Hitta via bibliotek

Till lärosätets databas

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy