The traditional tea quality testing, the internal and external quality
indexes of tea often difficult to juggle. Recently, the relevant researchers
first proposed by near infrared spectra and machine vision two sensing
information fusion technology, to judge the new idea of the tie guan yin Tea /
Ti Kwan Yin Tea comprehensive quality of tea. The nondestructive testing
technology has the detection speed, objectively, and sample without damage, etc.
Jiangsu university food, and biological engineering
The traditional tea
quality testing, the internal and external quality indexes of tea often
difficult to juggle. Recently, the relevant researchers first proposed by near
infrared spectra and machine vision two sensing information fusion technology,
to judge the new idea of the Tie Guan Yin Tea / Ti Kwan Yin Tea comprehensive
quality of tea. The nondestructive testing technology has the detection speed,
objectively, and sample without damage, etc.
Jiangsu university institute of food and biological engineering, dr
ChenQuanSheng published in the journal of agricultural engineering in 2008,
no.3, titled “based on machine vision of near infrared spectral and information
fusion technology evaluation of quality of tea, which is sensor research
information fusion technology in the fast and accurate comprehensive quality tea
provides a theoretical basis for evaluation.
According to introducing, judge
dragon well
tea quality index is various, including both color and appearance
etc, and including external indexes such as flavor and aroma internal quality
indicators. Single means testing often cannot fully describe, can only describe
one aspect. Such as near infrared spectra can be a very good characterization of
tea, but the internal quality information in tea on describing the
characteristic of external quality, often appear helpless; Conversely, machine
vision technology can well testing tea external quality, but can’t get reflect
the effective information internal quality of tea. Access to information to
different emphasis will inevitably affect the precision and stability of the Tie
Guan Yin Tea / Ti Kwan Yin Tea test results.
Many sensing information fusion is the use of sensing information resources, get describe the same object different quality characteristics of the Tie Guan Yin Tea / Ti Kwan Yin Tea enormous amounts of information. According to certain standards on these information analysis, comprehensive and balanced, will help improve the accuracy of judgment. with Iron Goddess of Mercy Tea the single detection means, it has than informative, good fault-tolerance with Iron Goddess of Mercy Tea human cognitive process similar and etc.
The researchers first proposed by near infrared spectra and machine vision two sensing information fusion technology testing quality of tea new ideas, and has carried on the preliminary attempt. Experiment with Iron Goddess of Mercy Tea four levels of improving green tea as the research object, obtain image feature information and spectral features, the principal component analysis of information, and using artificial neural network model of establishing the tea quality evaluation. The results of the Tie Guan Yin Tea / Ti Kwan Yin Tea study show that, based on machine vision of near infrared spectral and the multi-sensor information fusion technology evaluation of tea quality evaluation method is feasible, and the accuracy and stability than the previous single evaluation method, improved.
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