Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/17156| Title: | Electronic nose for odour identification | Authors: | Min Thu Ya Ko Ko. | Keywords: | DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics | Issue Date: | 2009 | Abstract: | Electronic nose comprising an array of 7 sensors circuitry and data processing software are used to identify different kinds of odors of fruits. The fruit to be identified is sensed by sensing system comprising of chemical gas sensors. The captured sensor readings are sent to personal computer for data processing. MatLab programming language and Probabilistic Neural Network is used to identify the odor of the fruit. A user friendly GUI generated using MatLab will display the result. Electronic is able to identify six different types of fruits: lemon, banana, orange, grapes, tomato and apple. | URI: | http://hdl.handle.net/10356/17156 | Schools: | School of Electrical and Electronic Engineering | Rights: | Nanyang Technological University | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
| Appears in Collections: | EEE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ep4062.pdf Restricted Access | 1.77 MB | Adobe PDF | View/Open |
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.