{"id":371963,"date":"2023-10-23T11:57:16","date_gmt":"2023-10-23T09:57:16","guid":{"rendered":"https:\/\/up.lublin.pl\/blog\/food-quality-in-digital-age-network-visited-serbia\/"},"modified":"2023-10-23T12:05:41","modified_gmt":"2023-10-23T10:05:41","slug":"food-quality-in-digital-age-network-visited-serbia","status":"publish","type":"post","link":"https:\/\/up.lublin.pl\/en\/blog\/food-quality-in-digital-age-network-visited-serbia\/","title":{"rendered":"\u201eFOOD Quality in Digital Age\u201d network visited Serbia!"},"content":{"rendered":"\t\t
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\u201eFOOD Quality in Digital Age\u201d network visited Serbia!<\/h2>\n

On 30th September \u2013 4th October, 2023 the participants of the \u201eFOOD Quality in Digital Age\u201d project<\/a> visited Serbia for a study visit organized by the Faculty of Agriculture of the University of Belgrade, Serbia in Belgrade and Kopaonik. <\/strong><\/p>\n

\"uczestnicy<\/a><\/p>\n

The visit was combined with Partners\u2019 participation in the 62nd International Meat Industry Conference<\/a> and focused on promotion and dissemination of the first results of the project. Participation in the conference allowed the Consortium to exchange knowledge and experience as well as contribute to spreading research excellence to the Balkan region, opening new possibilities of future cooperation, empowering young researchers and sustaining the independence of research.<\/p>\n

\"uczestnicy<\/a><\/p>\n

During the visit, PhD students and researchers from Poland, Czech Republic, Slovakia, Hungary and Serbia took part in the third module of the 5-modules training on digital food quality evaluation methods. According to his expertise, the Host \u2013 Prof. Igor Toma\u0161evi\u0107 \u2013 provided a training on computer vision system (CVS) for food quality assessment. Computer vision is a field that involves making a machine \u2018\u2018see\u201d. Humans use their eyes and their brains to see and visually sense the world around them. Computer vision is the science that aims to give a similar, if not better, capability to a machine or computer. CVS is concerned with the automatic extraction, analysis and understanding of useful and meaning information from a single image or a sequence of images. Typically, food quality evaluations are performed by human graders. However, in most cases these manual evaluations are time-consuming and labor-intensive. The accuracy of the human food quality tests cannot be guaranteed. Considering that most of the food sensory parameters are based on chromatic and morphological visual impression, the set-up of an objective method using CVS is very promising. The University of Belgrade have successfully developed and implemented CVS and provided scientific evidence about its accuracy, precision and superiority over traditional food quality evaluation techniques.<\/p>\n

\"pi\u0105tka<\/a><\/p>\n

As a part of the study visit an open lecture was provided by Prof. Bartosz So\u0142owiej \u2013 the Coordinator of the \u201cFOOD Quality in Digital Age\u201d network and a networking meeting with local\/regional academic community and project stakeholders (incl. food producing companies, farmers, business associations, etc.) was organized.<\/p>\n

\"Prorektor<\/a><\/p>\n

During the study visit, the University of Life Sciences in Lublin was represented by:<\/p>\n