A Review of Machine Learning and Deep Learning Techniques for Saffron Adulteration Prediction System
Author:
Affiliation:
1. Chandigarh university,Department of Computer Science Engineering,NH-05, Ludhiana - Chandigarh State Hwy,Punjab,140413
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10596469/10596555/10596610.pdf?arnumber=10596610
Reference27 articles.
1. Saffron
2. SAPS: Automatic Saffron Adulteration Prediction Systems, research issues, and prospective solutions
3. The menace of saffron adulteration: Low-cost rapid identification of fake look-alike saffron using Foldscope and machine learning technology;Egea
4. Saffron: A Major Source of Income and an Alternative to Poppy,2023
5. Various techniques useful for determination of adulterants in valuable saffron: A review
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