Research on Apple Odor Collection and Identification
Odor is an important quality factor in the selection of the apple. How to quickly and accurately detect the odor of apples is a subject in food, gardening and computer science. With the development of sensor technology, network communication technology and embedded computer technology, the electroni...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IFSA Publishing, S.L.
2016-05-01
|
| Series: | Sensors & Transducers |
| Subjects: | |
| Online Access: | http://www.sensorsportal.com/HTML/DIGEST/may_2016/Vol_200/P_2821.pdf |
| Summary: | Odor is an important quality factor in the selection of the apple. How to quickly and accurately detect the odor of apples is a subject in food, gardening and computer science. With the development of sensor technology, network communication technology and embedded computer technology, the electronic nose research becomes a hot topic. This paper carries on exploratory research for the apple odor detection based on the characteristics of apple odors. It designs a portable apple odor detection system with six SnO2 gas sensors as its odor collector and TMS320VC5402 as its processor. There are other hardware such as high precision A /D converter MAX1403, a 3×5 keyboard, and LCD in the system. It introduces interface circuit DSP to A/D converter and keyboard with the characteristics of different varieties of apples odors. In order to have a better human-computer interaction function, the system designs LCD interface circuit to display test results. A BP neural network is applied in the pattern recognition of apple odors. It studies on the extraction method of characteristic value, the improving for BP algorithm, the BP neural network transplanting to DSP platform. This system can automatically identify apple odor and its application will provide a new method for apple quality identification.
|
|---|---|
| ISSN: | 2306-8515 1726-5479 |