Predicting oil accumulation by fruit image processing and linear models in traditional and super high-density olive cultivars

Predicting oil accumulation by fruit image processing and linear models in traditional and super high-density olive cultivars

The paper focuses on the seasonal oil accumulation in traditional and super-high density (SHD) olive plantations and its modelling employing image-based linear models. For these purposes, at 7-10-day intervals, fruit samples (cultivar Arbequina, Fasola, Frantoio, Koroneiki, Leccino, Maiatica) were p...

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Bibliographic Details
Main Authors: Giuseppe Montanaro, Antonio Carlomagno, Angelo Petrozza, Francesco Cellini, Ioanna Manolikaki, Georgios Koubouris, Vitale Nuzzo
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-10-01
Series:Frontiers in Plant Science
Subjects:
colorimetric indexes
hysteresis
Olea europaea L.
plantation systems
SHD
NIR
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2024.1456800/full
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https://www.frontiersin.org/articles/10.3389/fpls.2024.1456800/full

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