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Development of electronic nose for classification of medicinal aromatic herbs using artificial intelligent techniques


Mohamad Yusof, Umi Kalsom and Che Soh, Azura and Ishak, Asnor Juraiza and Hassan, Mohd Khair and Khamis, Shamsul (2015) Development of electronic nose for classification of medicinal aromatic herbs using artificial intelligent techniques. In: 3rd International Symposium on Applied Engineering and Sciences (SAES2015), 23-24 Nov. 2015, Universiti Putra Malaysia. (pp. 3-4).


Herbs is useful in various applications especially in nutraceutical products and botanical medicine. In normal practice, the herbs identification is done mainly by botanists. However, it is difficult for botanist to recognize herbs based on aroma measurement for the species under the same family which is the physical appearance may look almost the same characteristic and also may be having the almost same aromas. Electronic nose instruments, derived from numerous types of aroma sensor technologies have been developed for a diverse of applications in a broad field of agriculture including for herbs. The emphasizes on the ability of an electronic nose in this project was to distinctify odor pattern of the herbs leaves from twelve species among lauraceae, myrtaceae and zingiberaceae family. The output captured by electronic nose gas sensors was classified by using Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS). From the result, ANFIS gives as higher as 94.8% percentage of accuracy to classify the herbs compare than ANN for 91.7% of accuracy.

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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
Institute of Bioscience
Publisher: Faculty of Computer Science and Information Technology, Universiti Putra Malaysia
Keywords: Electronic nose; Medicinal aromatic herbs; Artificial intelligent techniques
Depositing User: Nabilah Mustapa
Date Deposited: 03 Mar 2020 10:43
Last Modified: 03 Mar 2020 10:43
URI: http://psasir.upm.edu.my/id/eprint/77125
Statistic Details: View Download Statistic

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