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izvor podataka: crosbi

Assessment of vineyard canopy porosity using machine vision (CROSBI ID 222420)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

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

Podaci o odgovornosti

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

engleski

Assessment of vineyard canopy porosity using machine vision

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.

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

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Podaci o izdanju

67 (2)

2016.

229-238

objavljeno

0002-9254

10.5344/ajev.2015.15037

Povezanost rada

Poljoprivreda (agronomija)

Poveznice
Indeksiranost