Colour classification of Bulgarian honey using spectroradiometry and neural network processing

Open Access

Issue		BIO Web Conf. Volume 236, 2026 72^nd International Scientific Conference “FOOD SCIENCE, ENGINEERING AND TECHNOLOGY – 2025”


Article Number		03001
Number of page(s)		6
Section		Food Process Engineering
DOI		https://doi.org/10.1051/bioconf/202623603001
Published online		25 May 2026

A. Piotraszewska-Pająk, Anna, Gliszczyńska-Świgło. “Directions of Colour Changes of Nectar Honeys Depending on Honey Type and Storage Conditions.” Journal of Apicultural Science, undefined (2015). doi: 10.1515/JAS-2015-0019 [Google Scholar]
Afp, Reynolds. “Influence of microwave treatment on honey quality.” Progressive Agriculture, undefined (2019). doi: 10.3329/PA.V30I1.42219 [Google Scholar]
S. Abdulaziz, A. Ayman, A. Awad, A. Mohammed. “Mineral content and physical properties of local and imported honeys in Saudi Arabia”, Journal of Saudi Chemical Society, Vol.18, Issue 5, 2014, Pages 618–625, ISSN 1319- 6103 [Google Scholar]
Council Directive 2001/110/EC of 20 December 2001 relating to honey. Accessible on https://eur-lex.europa.eu/eli/dir/2001/110/oj/eng [Google Scholar]
DIN 10744:2022-02 Untersuchung von Honig - Bestimmung des Transmissionsgrades von Honig zur näherungsweisen Berechnung der Honigfarbe in mm Pfund-Graden [Google Scholar]
K. Nikolova, D. Tsankova, T. Evtimov. “Determination of the optical properties of Bulgarian honey” AIP Conference Proceedings 1722, 290009 (2016); doi: 10.1063/1.4944295 [Google Scholar]
K. Nikolova, D. Tsankova, T. Evtimov. “Fluorescence spectroscopy, colorimetry and neural networks in distinguishing different types of honey”, ANNALS of Faculty Engineering Hunedoara International Journal of Engineering Tome XIV [2016] – Fascicule 1 [February] [Google Scholar]
K. Ruoff, R. Karoui, E. Dufour, W. Luginbuhl, J.O. Bosset, S. Bogdanov, R. Amado, “Authentication of the botanical origin of honey by front-face fluorescence spectroscopy. A preliminary study”. J Agric Food Chem. Vol.53, No.5, pp.1343–1347, 2005 [Google Scholar]
J. Sadecka, J. Tothova. “Fluorescence Spectroscopy and Chemometrics in the Food Classification - A Review”. (2007). Czech Journal of Food Sciences. 25. 159-173. 10.17221/687- CJFS. [Google Scholar]
Zhao, Hong-Dong & Yao, Yi-Yang & Sun, Fei & Zhang, Qin & Yang, Xiao-Hui. (2013). Display the CIE 1931 Color Chromaticity Diagram with Digital Image Processing. Proceedings of SPIE - The International Society for Optical Engineering. 9045. 10.1117/12.2033411 [Google Scholar]
K Nankov, D. Tsankova, G. Terziyski UV-VIS Spectroscopy and neural networks in distinguishing different types of honey, IX International Conference Industrial Engineering and Environmental Protection 2019 (IIZS 2019) October 3rd-4th, 2019, Zrenjanin, Serbia [Google Scholar]
G. Gongde, , W. Hui, D. Bell, B. Yaxin. “KNN Model-Based Approach in Classification”, Lecture Notes in Computer Science 2888:986–996, DOI:10.1007/978-3-540-39964-3_62 [Google Scholar]
D. Berrar. Cross-Validation. (2018) 10.1016/B978-0-12-809633-8.20349-X. [Google Scholar]
Blum, E.K., Li, L.K., Approximation theory and feedforward networks, Neural Networks, Vol.4, pp.511–515, 1991 [Google Scholar]
M. Sumiran, G. Raut, D. Ribhu, V. Santosh, A. Biasizzo. “An Empirical Evaluation of Enhanced Performance Softmax Function in Deep Learning”. (2023). IEEE Access. PP. 1-1. 10.1109/ACCESS.2023.3265327 [Google Scholar]
V. Andreieva, N. Shvai. “Generalization of Cross- Entropy Loss Function for Image Classification.” (2021) Mohyla Mathematical Journal. 3. 3-10. 10.18523/2617-7080320203-10. [Google Scholar]
OROIAN, Mircea et al. Honey Classification Using Colour Measurement. Food and Environment Safety Journal, [S.l.], Vol.11, n. 2, feb. 2017. ISSN 2559 - 6381. [Google Scholar]
Szabó, Rubina & Mezes, Miklos & Szalai, Tamas & Zajácz, Edit & Kovács-Weber, Mária. (2016). Colour identification of honey and methodical development of its instrumental measuring. Columella : Journal of Agricultural and Environmental Sciences.3.10.18380 SZIE.COLUM.2016.3.1.29. [Google Scholar]
L.H. Bowles, E.A. Gullet, Color Classification of Honey Using Reflectance Measurement, Canadian Institute of Food Science and Technology Journal, Vol.9, Issue 3, 1976, Pages 125–129, ISSN 0315- 5463 [Google Scholar]
Albu, A.; Bora, F.D.; Cucu-Man, S.-M.; Stoleru, V.; Nistor, C.-E.; Brumă, I.S.; Rusu, O.-R. Assessing Honey Quality: A Focus on Some Physicochemical Parameters of Honey from Iasi County (Romania). Agriculture 2025, 15, 333. [Google Scholar]
Bodor, Zsanett & Benedek, Csilla & Urbin, Ágnes & Szabó, Dániel & Sipos, László. (2021). Colour of honey: can we trust the Pfund scale? – An alternative graphical tool covering the whole visible spectra. LWT. 149. 111859. 10.1016/j.lwt.2021.111859. [Google Scholar]

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