Determining the Geographical Authenticity of Sri Lankan Regional Teas with Their Chemical Profile Using Artificial Neural Networks
By: T. U. S. Peiris and C. K. Walgampaya
DOI: https://doi.org/10.4038/engineer.v57i3.7654 | Journal eISSN: 2550-3219
Language: English
Page range: 35 - 44
Published on: Aug 27, 2024
Published by: The Institution of Engineers, Sri Lanka
In partnership with: Paradigm Publishing Services
© 2024 T. U. S. Peiris, C. K. Walgampaya, published by The Institution of Engineers, Sri Lanka
This work is licensed under the Creative Commons Attribution-NoDerivatives 4.0 License.