%0 Conference Proceedings
%T Collection of Group Characteristics of Pleurotus Eryngii Using Machine Vision
%+ Technology & Engineering Research Center for Digital Agriculture
%A Wang, Yunsheng
%A Wan, Changzhao
%A Yang, Juan
%A Chen, Jianlin
%A Yuan, Tao
%A Zhao, Jingyin
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B Third IFIP TC 12 International Conference on Computer and Computing Technologies in Agriculture III (CCTA)
%C Beijing, China
%Y Daoliang Li; Chunjiang Zhao
%I Springer
%3 Computer and Computing Technologies in Agriculture III
%V AICT-317
%P 98-103
%8 2009-10-14
%D 2009
%R 10.1007/978-3-642-12220-0_15
%K Pleurotus eryngii
%K Group characteristics
%K Machine vision
%K Collection
%Z Computer Science [cs]/Digital Libraries [cs.DL]Conference papers
%X 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.
%G English
%2 https://inria.hal.science/hal-01061720/document
%2 https://inria.hal.science/hal-01061720/file/0302--Yunsheng_Wang.pdf
%L hal-01061720
%U https://inria.hal.science/hal-01061720
%~ IFIP
%~ IFIP-AICT
%~ IFIP-AICT-317
%~ IFIP-TC
%~ IFIP-TC12
%~ IFIP-CCTA
%~ IFIP-2010