PREDICTIVE MODELLING AND COMPUTER VISION SYSTEMS (CVS) FOR MINIMIZING LOSSES ALONG AVOCADO (PERSEA AMERICANA) FRUIT DISTRIBUTION CHAIN

Fishta, Aulona (2024) PREDICTIVE MODELLING AND COMPUTER VISION SYSTEMS (CVS) FOR MINIMIZING LOSSES ALONG AVOCADO (PERSEA AMERICANA) FRUIT DISTRIBUTION CHAIN. IJFTN International Journal of Food Technology and Nutrition, 7 (13-14). pp. 9-16. ISSN 2671-3071

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Abstract

Avocado, a fruit from southcentral Mexico, is nowadays distributed worldwide due to its health-promoting properties. The long-distance transportation and storage conditions can significantly affect the fruit quality and shelf life. The mathematical modeling of avocado quality parameters at different storage temperatures can be a tool to manage the distribution chain and minimize quality losses. In this study, "Hass" avocados were stored at three different temperatures of 5, 20, and 30ºC, and physical and physiological changes were evaluated over time. 30 avocados were used to follow mass loss, size, shape, color, and texture. Using computer vision system (CVS) analysis, co-occurrence matrices were generated, and standard features were calculated. Other 200 avocados were used to evaluate the firmness and chlorophyll degradation. This work is a contribution to improving avocado fruits distribution under dynamic conditions by using a non-destructive computer vision system (CVS) method.

Item Type:	Article
Uncontrolled Keywords:	Hass” Avocado, Shelf life, Quality, Computer Vision System (CVS), Color, Mass loss, Firmness, Texture, Chlorophylls, Predictive mode
Subjects:	S Agriculture > S Agriculture (General)
Divisions:	Faculty of Law, Arts and Social Sciences > School of Education
Depositing User:	Unnamed user with email zshi@unite.edu.mk
Date Deposited:	23 Sep 2024 08:50
Last Modified:	23 Sep 2024 08:50
URI:	http://eprints.unite.edu.mk/id/eprint/1666

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