Realization of Optimized Aroma Sensing System (E-Nose) with Supporting Software Package to Access Tomato Quality Parameters
IR@CEERI: CSIR-Central Electronics Engineering Research Institute, Pilani
View Archive Info| Field | Value | |
| Title |
Realization of Optimized Aroma Sensing System (E-Nose) with Supporting Software Package to Access Tomato Quality Parameters
|
|
| Creator |
Srivastava, S
Vaddadi, S Sadistap, SS |
|
| Subject |
Agrielctronics
|
|
| Description |
This paper addresses work regarding the development of low cost, small size, optimized, portable embedded advanced electronic nose system and its supporting software package for analysis of various volatile organic compounds (VOC’s) of both infected and healthy tomato (solanumly copersicum) samples. Developed electronic nose system consist of ARM-9 processor based embedded processing and control unit interfaced with gas sensing array, zero air generator, temperature and humidity controller, mass flow controller and indicator and valve controller for various operations. Developed gas sensing array composed of 10 metal oxide semiconductors (MOS) based commercial gas sensors from Figaro Corporation with LM-35 temperature sensor and sy-hs 220 humidity sensor for aroma sensing and temperature, humidity monitoring of tomato samples respectively. Data has been acquired using developed aroma sensing system and transferred further it to PC based server using Zigbee based wireless module for various processing and training. Data acquisition process is continues to 90 days and sensor response recorded for different tomato samples imported from in-situ green house. Various unsupervised multivariate statistical techniques (PCA, LDA, QDA and KNN) are implemented to correlate the odor sensor response with different quality parameters such as freshness, ripeness level and maturity index using Matlab version 7.0. Obtained results related to freshness, shelf life, maturity index and early disease detection indicates that developed electronic nose system is able to discriminate between fresh, partial fresh and rotten samples up to 95-97.2%. Obtained results validated with standard commercial Alpha MOS 3000 electronic nose system and it has been observed that error index varies around 2±.06%.
|
|
| Date |
2015
|
|
| Type |
Conference or Workshop Item
PeerReviewed |
|
| Format |
application/pdf
|
|
| Identifier |
http://ceeri.csircentral.net/239/1/5_2015%283%29.pdf
Srivastava, S and Vaddadi, S and Sadistap, SS (2015) Realization of Optimized Aroma Sensing System (E-Nose) with Supporting Software Package to Access Tomato Quality Parameters. In: 2nd IEEE International Conference on Recent Trends iin Information System(ReTIS-15), July 9-11, 2015, Jadavpur University, Kolkata. (Submitted) |
|
| Relation |
http://ceeri.csircentral.net/239/
|
|