Development of electronic nose for classification of aromatic herbs using Artificial Intelligent techniques
In normal practice, herbs identification is done mainly by botanists. However, it is difficult for a botanist to recognize herbs based on aroma measurement for species under the same family because they may have almost the same aromas. Moreover, several factors might influence the accuracy of the hu...
Saved in:
Main Authors: | Che Soh, Azura, Mohamad Radzi, Nur Fadzilah, Mohamad Yusof, Umi Kalsom, Ishak, Asnor Juraiza, Hassan, Mohd Khair |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor's University
2018
|
Online Access: | http://psasir.upm.edu.my/id/eprint/72258/1/Development%20of%20electronic%20nose%20.pdf http://psasir.upm.edu.my/id/eprint/72258/ http://jestec.taylors.edu.my/V13Issue10.htm |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Development of electronic nose for classification of medicinal aromatic herbs using artificial intelligent techniques
by: Mohamad Yusof, Umi Kalsom, et al.
Published: (2015) -
Classification of aromatic herbs using artificial intelligent technique
by: Che Soh, Azura, et al.
Published: (2017) -
Aromatic herbs classification by using discriminant analysis techniques
by: Mohamad Radzi, Nur Fadzilah, et al.
Published: (2017) -
E-nose herbs recognition system based on artificial neural network technique
by: Chow, Kar Kit, et al.
Published: (2013) -
Development of e-nose herb recognition system based on artificial intelligence techniques
by: Mohamad Yusof, Umi Kalsom
Published: (2016)