Intelligent Method for Classifying the Freshness of Coffee-Reference-Cited by-同舟云学术

Intelligent Method for Classifying the Freshness of Coffee

Published:2023-08-15 Issue: Volume: Page:
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Container-title:2023 IEEE Symposium on Wireless Technology & Applications (ISWTA)
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Author:

Awang Ahmad Lu’ai Waez¹,Yassin Ihsan Mohd²,Mahmood Mohd Khairil Adzhar¹,Ali Megat Syahirul Amin Megat³,Osman Fairul Nazmie¹,Yeow Michael Tan Kwan⁴,Eskandari Farzad⁵,Salim Azlan⁶,Khan Zuhani Ismail⁷

Affiliation:

1. Universiti Teknologi MARA (UiTM),College of Engineering,Shah Alam,Malaysia

2. Universiti Teknologi MARA (UiTM),Microwave Research Institute (MRI),Shah Alam,Malaysia

3. Universiti Teknologi MAKA (UiTM),Microwave Research Institute (MRI),Shah Alam,Malaysia

4. JWC Roastery Sdn Bhd,JWC Coffee Roastery,Puchong,Malaysia

5. Allameh Tabataba’i University,Mathematics & Computers,Faculty of Statistics,Tehran,Islamic Republic of Iran

6. Universiti Teknologi MARA (UiTM),Fakulti Pengurusan Hotel dan Pelancongan,Permatang Pauh,Malaysia

7. Microwave Research Institute Universiti Teknologi MARA (UiTM),Shah Alam,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10249209/10249009/10249522.pdf?arnumber=10249522

Reference30 articles.

1. Identification of fresh and expired ground roasted robusta coffee using UV-visible spectroscopy and chemometrics

2. Occurrence of Ochratoxin A in coffee beans, ground roasted coffee and soluble coffee and method validation

3. Fish freshness categorization from eyes and gills color features using multi-class artificial neural network and support vector machines

4. ECOC-SVM Classification of Coffee Roast Levels based on MNDT s-Parameters

5. Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach