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,

References

Competing interests

The authors have no competing interests.

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The authors have no competing interests.