Presentation Information

[P-19]Non-Destructive Discrimination of Sugar-Fed and Natural Honey Using Visible and Near-Infrared (NIR) Spectroscopy with Machineand Deep Learning

*Woontak Han¹, Hong-Gu Lee¹, Jeong-Yong Shin¹, Bo-Sun Park², Giyoung Kim³, Changyeun Mo^1,4 (1. Department of Interdisciplinary Program in Smart Agriculture, Kangwon National University (Korea), 2. Serculture and Apiculture Division, National Institute of Agricultural Science (Korea), 3. Agriculture and Life Sciences Research Institute (Korea), 4. Department of Biosystems Engineering, Kangwon National University (Korea))

Keywords:

Sugar-fed honey,Honey authenticity,Classification,Machine learning,Deep learning

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