Research Article | OPEN ACCESS
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
College of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin, China
Research Journal of Applied Sciences, Engineering and Technology 2013 8:1394-1401
Received: September 24, 2012 | Accepted: November 23, 2012 | Published: July 10, 2013
Abstract
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.
Keywords:
Crops disease stress, fuzzy control, precision spraying, self-learning fuzzy control system,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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