Abstract
Aiming at the problem that the structure of present agricultural products quality detection system is complicated and its high realization costs, through combining the embedded technology with machine vision technology, the embedded agricultural product quality detection system is realized at last based on ARM, accomplishing the function of agricultural products size, shape, and color and fault detection. The results show that this embedded system can get 94 percent of size and shape detecting accuracy and 83 percent or higher of color and default accuracy. And the system is low cost and would have a good prospect of application in agricultural product quality detecting and grading areas.
This paper is supported by Xi’an secretary Grant# NC10015 and Shaanxi province Agricultural Products Processing Research Institute Grant#NYY-090301.
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© 2011 Springer-Verlag Berlin Heidelberg
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Dang, H., Song, J., Guo, Q. (2011). An Embedded Agricultural Products Quality Detecting System Based on Image Vision. In: Zhang, J. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23226-8_82
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DOI: https://doi.org/10.1007/978-3-642-23226-8_82
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