Abstract
An information collection system which was used to group characteristics of pleurotus eryngii was introduced. The group characteristics of pleurotus eryngii were quantified using machine vision in order to inspect and control the pleurotus eryngii house environment by an automated system. Its main contents include the following: collection of pleurotus eryngii image; image processing and pattern recognition. Finally, by analysing pleurotus eryngii image, the systems for group characteristics of pleurotus eryngii are proved to be greatly effective. © 2010 IFIP International Federation for Information Processing.
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Wang, Y., Wan, C., Yang, J., Chen, J., Yuan, T., & Zhao, J. (2010). Collection of group characteristics of pleurotus eryngii using machine vision. In IFIP Advances in Information and Communication Technology (Vol. 317, pp. 98–103). Springer New York LLC. https://doi.org/10.1007/978-3-642-12220-0_15
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