liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Plant Condition Measurement from Spectral Reflectance Data
Linköping University, Department of Electrical Engineering, Computer Vision.
2010 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesisAlternative title
Växttillståndsmätningar från spektral reflektansdata (Swedish)
Abstract [en]

The thesis presents an investigation of the potential of measuring plant condition from hyperspectral reflectance data. To do this, some linear methods for embedding the high dimensional hyperspectral data and to perform regression to a plant condition space have been compared. A preprocessing step that aims at normalized illumination intensity in the hyperspectral images has been conducted and some different methods for this purpose have also been compared.A large scale experiment has been conducted where tobacco plants have been grown and treated differently with respect to watering and nutrition. The treatment of the plants has served as ground truth for the plant condition. Four sets of plants have been grown one week apart and the plants have been measured at different ages up to the age of about five weeks. The thesis concludes that there is a relationship between plant treatment and their leaves' spectral reflectance, but the treatment has to be somewhat extreme for enabling a useful treatment approximation from the spectrum. CCA has been the proposed method for calculation of the hyperspectral basis that is used to embed the hyperspectral data to the plant condition (treatment) space. A preprocessing method that uses a weighted normalization of the spectrums for illumination intensity normalization is concluded to be the most powerful of the compared methods.

Place, publisher, year, edition, pages
2010. , 95 p.
Keyword [en]
Leaf reflectance spectrum, Plant condition, PCA, PLS, MLR, CCA, Multidimensional signal analysis
National Category
Signal Processing
URN: urn:nbn:se:liu:diva-59286ISRN: LiTH-ISY-EX--10/4369--SEOAI: diva2:350907
2010-08-31, Algoritmen, B-huset, Linköpings Universitet, Linköping, 21:13 (Swedish)
Available from: 2010-09-13 Created: 2010-09-11 Last updated: 2010-09-13Bibliographically approved

Open Access in DiVA

fulltext(12681 kB)192 downloads
File information
File name FULLTEXT01.pdfFile size 12681 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Johansson, Peter
By organisation
Computer Vision
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar
Total: 192 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 263 hits
ReferencesLink to record
Permanent link

Direct link