Integrated Process-Oriented Approach for Digital Authentication of Honey in Food Quality and Safety Systems—A Case Study from a Research and Development Project
Source abstract
Abstract
The increasing scale of honey adulteration poses a significant challenge for modern food quality and safety management systems. Honey authenticity, defined as the conformity of products with their declared botanical and geographical origin, is challenging to verify solely through documentation and conventional physicochemical analyses. This study presents an integrated, process-oriented approach for digital honey authentication, building on initial findings from an interdisciplinary research and development project. The approach includes the creation of a comprehensive digital pollen database and the application of AI-driven image segmentation and classification methods. The developed system is designed to support decision-making processes in quality assessment and VACCP (Vulnerability Assessment and Critical Control Points) risk evaluation, enhancing the operational resilience of honey supply chains against fraudulent practices. This study aligns with current trends in the digitization of food quality management and the use of Industry 4.0 technologies in the agri-food sector, demonstrating the practical feasibility of integrating AI-supported palynological analysis into industrial workflows. The results indicate that the proposed approach can significantly improve the accuracy and efficiency of honey authenticity assessments, supporting the integrity and transparency of global honey markets.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Bee Products Chemical Analysis · Identification and Quantification in Food · Spectroscopy and Chemometric Analyses
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute of Management and Quality Sciences, Faculty of Economics, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland
AI Technika Sp. z o.o., 87-100 Toruń, Poland
Atende S.A., 03-736 Warszawa, Poland
Funding
National Centre for Research and Development
References (90)
Show source-provided references
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