Detection of adulterants in pepper powder using deep learning-based microscopic imaging: A cost-effective approach for food safety
Authors
Postgraduate Institute of Agriculture, P.O.Box 55, Old Galaha Road, Peradeniya, 20400
W. M. K. Fernando
managingeditor.cjs@sci.pdn.ac.lk
Field Crops Research and Development Institute, Mahailluppallama, 50270
DOI: https://doi.org/10.4038/cjs.v55i2.9188 | Journal eISSN: 2513-230X
Language: English
Page range: 491 - 509
Published on: Apr 28, 2026
Published by: Faculty of Science, University of Peradeniya, Sri Lanka
In partnership with: Paradigm Publishing Services
© 2026 J. K. W. U. D. Karunathilaka, P. C. Arampath, K. S. P. Amarathunga, W. M. K. Fernando, T. Liyanage, published by Faculty of Science, University of Peradeniya, Sri Lanka
This work is licensed under the Creative Commons Attribution 4.0 License.