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2013 (Vol. 6, Issue: 08)
Article Information:

Study and Simulation on Fuzzy Control Model for Crop Disease

Guo-Dong You, Ji-Sheng Li, Shi-Feng Yang, Xiu-Qing Wang and Yong Hou
Corresponding Author:  Guo-Dong You 

Key words:  Crops disease stress, fuzzy control, precision spraying, self-learning fuzzy control system, , ,
Vol. 6 , (08): 1394-1401
Submitted Accepted Published
September 24, 2012 November 23, 2012 July 10, 2013

In order to solve the precision medicine problem of crop diseases control, the conventional fuzzy model which applies to crop diseases control was established. Subordinate function, reasoning pattern and domain of discourse of fuzzy model were select. The computational process of the weight of five drug need fuzzy control sub model was mainly introduced and AHP and Neural Networks were adopted. Self-learning fuzzy control model for crop disease control was proposed to make control rules study and better adapt the on-site work environment. The result of MATLAB showed an expected effect of controlling the spray rate of the system. The study provided a new control strategy and method to realize intelligent control of precision spraying for crop.
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  Cite this Reference:
Guo-Dong You, Ji-Sheng Li, Shi-Feng Yang, Xiu-Qing Wang and Yong Hou, 2013. Study and Simulation on Fuzzy Control Model for Crop Disease.  Research Journal of Applied Sciences, Engineering and Technology, 6(08): 1394-1401.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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