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Pregled bibliografske jedinice broj: 786258

Assessment of vineyard canopy porosity using machine vision


Diago, Maria Paz; Krasnow, Mark; Bubola, Marijan; Millan, Borja; Tardaguila, Javier
Assessment of vineyard canopy porosity using machine vision // American journal of enology and viticulture, 67 (2016), 2; 229-238 doi:10.5344/ajev.2015.15037 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 786258 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Assessment of vineyard canopy porosity using machine vision

Autori
Diago, Maria Paz ; Krasnow, Mark ; Bubola, Marijan ; Millan, Borja ; Tardaguila, Javier

Izvornik
American journal of enology and viticulture (0002-9254) 67 (2016), 2; 229-238

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
canopy management; fruit exposure; image analysis; noninvasive sensing; point quadrat analysis; Vitis vinifera L.

Sažetak
Canopy porosity is an important viticultural factor because canopy gaps favor fruit exposure and air circulation, both of which benefit fruit quality and health. Point quadrat analysis (PQA) is standard for assessing canopy gaps but has limited utility because the method is laborious and time consuming. A new, objective, noninvasive, image-based method was developed and compared with PQA to assess the percent canopy gaps in vineyards with diverse viticultural conditions and grape varieties in New Zealand, Croatia, and Spain. The determination coefficient (R2) of the regressions between the percent gaps using both methods exceeded 0.90 (p < 0.05) at each site, and R2 of the global regression was 0.93 (p < 0.05). The time of day and side of the canopy photographed did not significantly affect the performance of the algorithm. With this new image-based assessment method, canopy management may be optimized to configure a desired amount of canopy gaps and thereby improve fruit quality and health.

Izvorni jezik
Engleski

Znanstvena područja
Poljoprivreda (agronomija)



POVEZANOST RADA


Projekti:
147-1470497-0555 - Valorizacija resursa vinove loze (Vitis sp.) i banka gena (Peršurić, Đordano, MZOS ) ( POIROT)

Ustanove:
Institut za poljoprivredu i turizam, Poreč

Profili:

Avatar Url Marijan Bubola (autor)

Poveznice na cjeloviti tekst rada:

doi www.ajevonline.org

Citiraj ovu publikaciju:

Diago, Maria Paz; Krasnow, Mark; Bubola, Marijan; Millan, Borja; Tardaguila, Javier
Assessment of vineyard canopy porosity using machine vision // American journal of enology and viticulture, 67 (2016), 2; 229-238 doi:10.5344/ajev.2015.15037 (međunarodna recenzija, članak, znanstveni)
Diago, M., Krasnow, M., Bubola, M., Millan, B. & Tardaguila, J. (2016) Assessment of vineyard canopy porosity using machine vision. American journal of enology and viticulture, 67 (2), 229-238 doi:10.5344/ajev.2015.15037.
@article{article, year = {2016}, pages = {229-238}, DOI = {10.5344/ajev.2015.15037}, keywords = {canopy management, fruit exposure, image analysis, noninvasive sensing, point quadrat analysis, Vitis vinifera L.}, journal = {American journal of enology and viticulture}, doi = {10.5344/ajev.2015.15037}, volume = {67}, number = {2}, issn = {0002-9254}, title = {Assessment of vineyard canopy porosity using machine vision}, keyword = {canopy management, fruit exposure, image analysis, noninvasive sensing, point quadrat analysis, Vitis vinifera L.} }
@article{article, year = {2016}, pages = {229-238}, DOI = {10.5344/ajev.2015.15037}, keywords = {canopy management, fruit exposure, image analysis, noninvasive sensing, point quadrat analysis, Vitis vinifera L.}, journal = {American journal of enology and viticulture}, doi = {10.5344/ajev.2015.15037}, volume = {67}, number = {2}, issn = {0002-9254}, title = {Assessment of vineyard canopy porosity using machine vision}, keyword = {canopy management, fruit exposure, image analysis, noninvasive sensing, point quadrat analysis, Vitis vinifera L.} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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