TY - GEN
T1 - Development and application of electronic nose for agricultural robot
AU - Siyang, Satetha
AU - Lorwongtragool, Panida
AU - Noosidum, Atirach
AU - Wongchoosuk, Chatchawal
AU - Kerdcharoen, Teerakiat
PY - 2013
Y1 - 2013
N2 - A portable electronic nose (E-nose) based on metal oxide gas sensor was used for detection of a total volatile compound in soil headspace and greater wax moth (Galleria mellonella L.). Sensor elements were selected in order to possibly respond to a wide range of the volatiles including both of oxidizing and reducing gases. The aim of this work was to relate the soil volatile fingerprints at their depth levels and less number of greater wax moth that can be detected by electronic nose. Soil was sampled from the field of the vinery located near Khao Yai world heritage, Thailand at a depth level of 10 cm, 30 cm and 50 cm. Male and female greater wax moths were treated from egg to senile adult in plastic box and measured with electronic nose by varying number of moth. The results could identify the difference of the volatile fingerprints by employing principal component analysis (PCA) as the signal pattern recognition technique. The volatile profiles from eight TGS elements relating chemical emissions will be discussed in more details.
AB - A portable electronic nose (E-nose) based on metal oxide gas sensor was used for detection of a total volatile compound in soil headspace and greater wax moth (Galleria mellonella L.). Sensor elements were selected in order to possibly respond to a wide range of the volatiles including both of oxidizing and reducing gases. The aim of this work was to relate the soil volatile fingerprints at their depth levels and less number of greater wax moth that can be detected by electronic nose. Soil was sampled from the field of the vinery located near Khao Yai world heritage, Thailand at a depth level of 10 cm, 30 cm and 50 cm. Male and female greater wax moths were treated from egg to senile adult in plastic box and measured with electronic nose by varying number of moth. The results could identify the difference of the volatile fingerprints by employing principal component analysis (PCA) as the signal pattern recognition technique. The volatile profiles from eight TGS elements relating chemical emissions will be discussed in more details.
KW - Electronic nose
KW - Greater wax moth
KW - PCA
KW - Soil volatile fingerprint
KW - TGS sensor
UR - https://www.scopus.com/pages/publications/84883071961
U2 - 10.1109/ECTICon.2013.6559500
DO - 10.1109/ECTICon.2013.6559500
M3 - Conference contribution
AN - SCOPUS:84883071961
SN - 9781479905454
T3 - 2013 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2013
BT - 2013 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2013
T2 - 2013 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2013
Y2 - 15 May 2013 through 17 May 2013
ER -