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