Electronic Nose for Analysis of Coffee Beans Obtained from Different Altitudes and Origin

Author:

Aunsa-Ard Wandee1,Kerdcharoen Teerakiat2

Affiliation:

1. Mahidol University,Materials Science and Engineering Program, Faculty of Science,Bangkok,Thailand,10400

2. Research Network of NANOTEC at Mahidol University National Nanotechnology Center,Faculty of Science,Department of Physics,Bangkok,Thailand,10400

Funder

NANOTEC

Publisher

IEEE

Reference9 articles.

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Research on the Evaluation of Baijiu Flavor Quality Based on Intelligent Sensory Technology Combined with Machine Learning;Chemosensors;2024-07-03

2. Development of Low-cost and Robust IoT Field Station for Coffee Plantation;2023 15th International Conference on Knowledge and Smart Technology (KST);2023-02-21

3. Classification of the Coffee Roasting Level Based on Electronic Nose;2022 8th International Conference on Science and Technology (ICST);2022-09-07

4. The Potential of Smart Farming IoT Implementation for Coffee farming in Indonesia: A Systematic Review;Green Intelligent Systems and Applications;2022-08-16

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