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Pregled bibliografske jedinice broj: 1179635

Application of non-negative matrix factorization for studying short-term physiological changes in grapevine from canopy hyperspectral reflection


Puškarić, Staša; Sokač, Mateo; Matić, Ksenija
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)


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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



POVEZANOST RADA


Ustanove:
RIT Croatia, Dubrovnik

Profili:

Avatar Url Staša Puškarić (autor)

Poveznice na cjeloviti tekst rada:

www.rithink.hr

Citiraj ovu publikaciju:

Puškarić, Staša; Sokač, Mateo; Matić, Ksenija
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)
Puškarić, S., Sokač, M. & Matić, K. (2022) Application of non-negative matrix factorization for studying short-term physiological changes in grapevine from canopy hyperspectral reflection. Rithink, 10, 1-25.
@article{article, author = {Pu\v{s}kari\'{c}, Sta\v{s}a and Soka\v{c}, Mateo and Mati\'{c}, Ksenija}, year = {2022}, pages = {1-25}, keywords = {non-negative matrix factorization, grapevine, physiology, chlorophyll, viticulture, vegetation indices, light absorption, short-term changes}, journal = {Rithink}, volume = {10}, issn = {1848-5324}, title = {Application of non-negative matrix factorization for studying short-term physiological changes in grapevine from canopy hyperspectral reflection}, keyword = {non-negative matrix factorization, grapevine, physiology, chlorophyll, viticulture, vegetation indices, light absorption, short-term changes} }
@article{article, author = {Pu\v{s}kari\'{c}, Sta\v{s}a and Soka\v{c}, Mateo and Mati\'{c}, Ksenija}, year = {2022}, pages = {1-25}, keywords = {non-negative matrix factorization, grapevine, physiology, chlorophyll, viticulture, vegetation indices, light absorption, short-term changes}, journal = {Rithink}, volume = {10}, issn = {1848-5324}, title = {Application of non-negative matrix factorization for studying short-term physiological changes in grapevine from canopy hyperspectral reflection}, keyword = {non-negative matrix factorization, grapevine, physiology, chlorophyll, viticulture, vegetation indices, light absorption, short-term changes} }




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