Non-destructive prediction of hazelnut and hazelnut kernel deformation energy using machine learning techniques

Non-destructive prediction of hazelnut and hazelnut kernel deformation energy using machine learning techniques

ABSTRACTThe hazelnut possesses a significant economic value and is extensively consumed on a global scale. Physico-mechanical properties such as linear dimensions, deformation, force, stress, and energy play an important role in the processing of hazelnut and hazelnut kernels, quality assessment, an...

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Bibliographic Details
Main Authors: Mehmet Kayakuş, Onder Kabas, İ̇lker Ünal, Serdar Paçacı, Mirela - Nicoleta Dinca
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:International Journal of Food Properties
Subjects:
SVR
mechanical properties
non-destructive
machine learning
MLR
Online Access:https://www.tandfonline.com/doi/10.1080/10942912.2024.2317749

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