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.
Daoliang Li; Chunjiang Zhao. Third IFIP TC 12 International Conference on Computer and Computing Technologies in Agriculture III (CCTA), Oct 2009, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-317, pp.98-103, 2010, Computer and Computing Technologies in Agriculture III. 〈10.1007/978-3-642-12220-0_15〉
https://hal.inria.fr/hal-01061720
Contributeur : Hal Ifip
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Soumis le : lundi 8 septembre 2014 - 13:15:00
Dernière modification le : mardi 8 août 2017 - 17:17:42
Document(s) archivé(s) le : mardi 9 décembre 2014 - 11:51:19
Yunsheng Wang, Changzhao Wan, Juan Yang, Jianlin Chen, Tao Yuan, et al.. Collection of Group Characteristics of
Pleurotus Eryngii Using Machine Vision. Daoliang Li; Chunjiang Zhao. Third IFIP TC 12 International Conference on Computer and Computing Technologies in Agriculture III (CCTA), Oct 2009, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-317, pp.98-103, 2010, Computer and Computing Technologies in Agriculture III. 〈10.1007/978-3-642-12220-0_15〉. 〈hal-01061720〉
