Mehmet Kayakuş, Onder Kabas, İ̇lker Ünal, Serdar Paçacı, Mirela - Nicoleta Dinca
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Non-destructive prediction of hazelnut and hazelnut kernel deformation energy using machine learning techniques
The 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 pl...
期刊介绍：
The International Journal of Food Properties publishes original research papers devoted to all scientific and applied aspects of food properties. The emphasis is on measurement methods, development of standards, and data on food properties, predictions, and applications.
The International Journal of Food Properties brings together the widely scattered research in the area of food properties and provides an international forum for scientists and technologists for rapid dissemination of their research results, ideas, and knowledge. Other features include review articles, book reviews, letters to the editor, conference papers, news, and commercial advertisements.
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