@inProceedings{
 title = {Imaging spectrography of greenhouse plants for vitality estimation.},
 type = {inProceedings},
 year = {2003},
 id = {c261e5c5-46b9-3384-946b-e860d91272b7},
 created = {2019-11-19T16:29:03.299Z},
 file_attached = {false},
 profile_id = {bddcf02d-403b-3b06-9def-6d15cc293e20},
 group_id = {28b2996c-b80f-3c26-be71-695caf7040ac},
 last_modified = {2019-11-19T16:32:19.643Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {mvg:433},
 source_type = {inproceedings},
 notes = {Proc. 3rd International Conference on Computer<br/>Vision Systems (ICVS 03), International Workshop on Spectral<br/>Imaging, April 1-3, Graz, Austria, 49-55.},
 folder_uuids = {8292f5ec-1c57-4113-a303-25778e695f8c},
 private_publication = {false},
 abstract = {This study investigates the use of imaging spectrography for precision
horticulture in greenhouses. The aim is to find correlation between
spectral features and plant vitality and develop new non-invasive,
non-contact measurement technology for greenhouses. 
Measurements of cucumber leaf reflectance spectra were made in
greenhouse conditions in changing sunlight, using a 14 bit dynamic
range, 2 nm spectral resolution and 1 mm by 1 mm spatial resolution. The
spectra were normalised to reference colour and the results were
analysed using simple wavelength ratios, distributions of these ratios,
variances between neighbouring pixels and Self-organising map. The
spectral data was compared to biological reference measurements, which
were made shortly before and after the spectral measurements. 
The water index and chlorophyll content can be calculated quite reliably
from the plant spectra using simple wavelength ratio. SOM provides
information of plant photosynthesis activity, and appears to hold a
promise for more information when more features are used in training the
map.},
 bibtype = {inProceedings},
 author = {Aario, S and Kauppinen, H and Silvén, O and Viilo, K}
}

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