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RESEARCH ARTICLE
Copyright © 2011 American Scientific Publishers
All rights reserved
Printed in the United States of America
SENSOR LETTERS
Vol. 9, 353–358, 2011
Electronic Nose System for Ganoderma Detection
A. H. Abdullah
∗
, A. H. Adom, A. Y. Md. Shakaff, M. N. Ahmad,
M. A. Saad, E. S. Tan, N. A. Fikri, M. A. Markom, and A. Zakaria
Sensor Technology and Application Cluster Research, Universiti Malaysia Perlis, 01000 Kangar, Perlis, Malaysia
(Received: 13 November 2009. Accepted: 5 August 2010)
An electronic nose (e-nose) is a device that performs electronic olfactory as a possible substitute or
to complement human experts. One of its applications is recognition of samples using the detection
of the corresponding volatile organic compounds (VOC). There have been continual developments
of e-noses due to its growing demand in area such as food quality control, fruit ripeness and
plant disease detection. However, the current devices on the market are costly and complicated
to operate, as well as having relatively simple algorithms for odour recognition and classification.
This paper presents the work of an e-nose development which was designed to be cost effective
and uses off-the-shelf components. The e-nose was used to detect the presence of Ganoderma
boninense fungus detection from palm oil tree trunks. The prototype utilises an array of metal oxide
sensors (MOS) and developed using rapid-prototyping approach. The mobile e-nose offers rapid
response, versatility and novelty in the detection of odour using artificial neural network (ANN)
algorithm. Initial results show that the el-nose was able to detect the presence of Ganoderma
boninense from the tree-trunk odour within a few minutes. This indicates that the system may be
used as an early detection system for plant disease monitoring.
Keywords: E-Nose, Odour Capturing Module, Microcontroller, PCA, Artificial Neural Network.
1. INTRODUCTION
The development of electronic noses (e-nose) as an intel-
ligent device that mimics human sensory system has been
investigated for a number of years. E-nose is an instrument
which comprises an array of electronic chemical sensors
with partial specificity and an appropriate pattern recog-
nition system, capable of recognising simple or complex
odours.
1
The instrument can be used for detection, recog-
nition and classification the odour. The e-nose provides a
non-destructive approach that can complement the use of
human experts in volatile compounds classification. Even
though human nose is superior in terms of sensitivity and
versatility, the e-nose may be more consistent and can be
used to detect harmful or toxic odours.
2
The rapid development of e-nose has been driven by its
potential applications and advantages over others approach
for odour classification. The classical analysis methods use
equipments that are often big, non-portable, as well as
requiring complex preparation of the samples and not suit-
able for field tests.
3
Most of the applications for e-nose
would benefit from a portable system for being easy to
∗
Corresponding author; E-mail: abuhassan@unimap.edu.my
use, cost-effective and as flexible as possible: it can eas-
ily be trained, programmed and employed for different
application.
4
The application of e-nose includes food qual-
ity control and assurance, fragrance identification, environ-
mental monitoring, and plant disease control.
5 6
Presented is the work conducted on the development of
a cost-efficient portable e-nose. The test application for the
system looks at the agricultural application.
2. GANODERMA BONINENSE
The oil palm (Elaeis guineensis Jacq.) tree is a leading
source of cooking oil. Its high demand is also due to
the introduction of bio-diesel. In 2008, Malaysia is the
world’s second largest palm oil producer, with 17.7 million
tonnes of palm oil produced from 4.5 million hectares of
land.
7
The oil palm tree is threatened by the Basal Stem
Rot (BSR) disease caused by Ganoderma boninense fun-
gus as shown in Figure 1, where losses can be significant
after repeated planting cycles. BSR has been causing seri-
ous damage to the oil palm plantations in Malaysia and
is currently causing large amount of losses in revenue.
8
The disease does not show indication in the early stage
Sensor Lett. 2011, Vol. 9, No. 1 1546-198X/2011/9/353/006 doi:10.1166/sl.2011.1479 353