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Research of irrigation control system based on fuzzy neural network
By: Guifen Chen; Lisong Yue;
2011 / IEEE / 978-1-61284-722-1
Description
This item was taken from the IEEE Conference ' Research of irrigation control system based on fuzzy neural network ' 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.
Related Topics
Fuzzy Control
Fuzzy Systems
Irrigation
Neurocontrollers
Nonlinear Dynamical Systems
Self-adjusting Systems
Wastewater
Agricultural Production
Fuzzy Neural Network
Water Conservation
Water-saving Irrigation Project
Intelligent Irrigation Control System
Fuzzy System
Intelligent Control System
Water-saving Irrigation Technology
Fuzzy Data Processing
Self-learning
Intelligent Control Irrigation System
Logic Reasoning
Distributed Processing
Nonlinear Dynamics Process
System Control
Water Consumption
Waste Water
Crop Grout
Irrigation Area
Human Operating Strength
Irrigation
Fuzzy Control
Fuzzy Neural Networks
Training
Control Systems
Soil Moisture
Fuzzy Logic
Fuzzy Neural Network
Intelligent Irrigation
Control
Crops
Water Conservation
Engineering
Fuzzy Logic Disability