DocumentCode :
3389629
Title :
Research of irrigation control system based on fuzzy neural network
Author :
Guifen Chen ; Lisong Yue
Author_Institution :
Coll. of Inf. & Technol., Jilin Agric. Univ., Changchun, China
fYear :
2011
fDate :
19-22 Aug. 2011
Firstpage :
209
Lastpage :
212
Abstract :
Saving water is vital for water-saving irrigation project. The paper proposed an intelligent irrigation control system and combined fuzzy system and neural network to intelligent control system. Aimed at water-saving irrigation technology, the new method not only can offset the deficiency of neural network in processing the fuzzy data, but also can effectively resolve the disability of fuzzy logic on self-learning. This intelligent control irrigation system combined with calculation; logic reasoning; distributed processing and non-linear dynamics process. The system control the water consumption with intelligent way, this way avoids the waste water and ensure the requirements of the crop grout. At the same time, as to the intelligent control to the irrigation area, the human operating strength has been reduced and the agricultural production also increased.
Keywords :
crops; fuzzy control; fuzzy systems; irrigation; neurocontrollers; nonlinear dynamical systems; self-adjusting systems; wastewater; water conservation; agricultural production; crop grout; distributed processing; fuzzy data processing; fuzzy logic disability; fuzzy neural network; fuzzy system; human operating strength; intelligent control irrigation system; intelligent control system; intelligent irrigation control system; irrigation area; logic reasoning; nonlinear dynamics process; self-learning; system control; waste water; water conservation; water consumption; water-saving irrigation project; water-saving irrigation technology; Control systems; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Irrigation; Soil moisture; Training; Control; Fuzzy neural network; Intelligent irrigation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location :
Jilin
Print_ISBN :
978-1-61284-719-1
Type :
conf
DOI :
10.1109/MEC.2011.6025437
Filename :
6025437
Link To Document :
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