Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Measuring crop status using multivariate analysis of hyperspectral field reflectance with application to disease severity and plant density
SLU, Uppsala.
Uppdaga HB, Uppsala, Sweden.ORCID-id: 0000-0002-1831-9285
2007 (Engelska)Ingår i: Precision Agriculture, ISSN 1385-2256, E-ISSN 1573-1618, Vol. 8, nr 1-2, s. 37-47Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Using spectral reflectance to estimate crop status is a method suitable for developing sensors for site-specific agricultural applications. When developing spectral analysis methods, it is important to know the influence of different crop parameters on the spectral reflectance profile. The objective of this report was to present and evaluate a multivariate method for objective hyperspectral analysis in the examination of how different parts of the reflectance spectrum are affected by disease severity and above ground plant density. Data from two field experiments were used; fungal disease severity assessments in wheat 1998 and above ground plant density measurements 2003. The analysis method consisted of two steps: a preprocessing step where the data was normalized and a classification step for estimating the crop variable. Using only 12% of the data as training data, the method resulted in coefficients of determination (R-2) of 94.3% for the disease severity data and 96.9% for the plant density data. The hyperspectral analysis method presented could also be used to extract spectral signatures of disease severity and plant density using the experimental data. In general, two types of spectral signatures for both data sets, with respect to increasing disease severity and decreasing plant density, were observed (1) a flattening of the green reflectance peak together with a general decrease in reflectance in the near infrared region and, (2) a decrease of the shoulder of the near infrared reflectance plateau together with a general increase in the visible region between 550 and 750 nm.

Ort, förlag, år, upplaga, sidor
2007. Vol. 8, nr 1-2, s. 37-47
Nyckelord [en]
hyperspectral reflectance analysis, plant disease, plant density, wheat, stress
Nationell ämneskategori
Medicinteknik
Identifikatorer
URN: urn:nbn:se:kth:diva-16544DOI: 10.1007/s11119-006-9027-4ISI: 000245623800004OAI: oai:DiVA.org:kth-16544DiVA, id: diva2:334586
Anmärkning

QC 20100525

Tillgänglig från: 2010-08-05 Skapad: 2010-08-05 Senast uppdaterad: 2017-12-12Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltext

Personposter BETA

Hamid Muhammed, Hamed

Sök vidare i DiVA

Av författaren/redaktören
Hamid Muhammed, Hamed
I samma tidskrift
Precision Agriculture
Medicinteknik

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 59 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf