Pregled bibliografske jedinice broj: 1179635
Application of non-negative matrix factorization for studying short-term physiological changes in grapevine from canopy hyperspectral reflection
Application of non-negative matrix factorization for studying short-term physiological changes in grapevine from canopy hyperspectral reflection // Rithink, 10 (2022), 1-25 (domaća recenzija, članak, znanstveni)
CROSBI ID: 1179635 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Application of non-negative matrix factorization
for studying short-term physiological changes in
grapevine from canopy hyperspectral reflection
Autori
Puškarić, Staša ; Sokač, Mateo ; Matić, Ksenija
Izvornik
Rithink (1848-5324) 10
(2022);
1-25
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
non-negative matrix factorization ; grapevine ; physiology ; chlorophyll ; viticulture ; vegetation indices ; light absorption ; short-term changes
Sažetak
We have applied non-negative matrix factorization to a database of leaf hyperspectral reflectance and DMSO chlorophyll extract absorption measurements from grapevine canopies at seven vineyards in Dalmatia, Croatia. Extracted spectral signatures show various monthly changes in grapevine production of chlorophyll. Our signatures represent maximal absorption values within a specific colour spectrum - blue, red, near infrared, green and yellow to orange. Association of signatures and chlorophyll indices vary through time. Signature S4 is the best chlorophyll proxy. Here we show that the same amount of chlorophyll can be produced by plants using multiple internal processes or absorption of different spectrums of light. Changes in these processes can be better understood by studying extracted reflection signatures instead of just chlorophyll concentration or vegetation indices. This study shows that non-negative matrix factorization applied to hyperspectral reflectance measurements can be a powerful tool in monitoring the shortterm changes in physiology of plants thus could be applied in precision viticulture. We also tested this model on canopy hyperspectral reflectance measured at 0.5 m distance from the canopy. This study shows that NMF can be a powerful tool in monitoring the seasonal grapevine changes in physiology of plants thus could be applied in precision viticulture.
Izvorni jezik
Engleski
Znanstvena područja
Interdisciplinarne prirodne znanosti