Articles
FUZZY MODELLING ON CROP GROWTH CONTROL SYSTEMS
Article number
230_30
Pages
241 – 244
Language
Abstract
In this paper some properties of crop growth control systems are first discussed, fuzziness are laid special stress upon analysing and the growth optimization of crop is studied by means of fuzzy system analysis.
To obtain the highest crop productivity, the growth and development must be controlled to the optimal state by agronomic practices.
Crop growth control systems are characterized by complexity, fuzziness and purposiveness.
Moreover, behaviour and experience of manager play an important role in the operation of systems.
These properties of the systems precludes the use of model adapted from the classical mathematical tools.
The approach proposed in this paper is more feasible and is very useful in expert system of crop production control.
To obtain the highest crop productivity, the growth and development must be controlled to the optimal state by agronomic practices.
Crop growth control systems are characterized by complexity, fuzziness and purposiveness.
Moreover, behaviour and experience of manager play an important role in the operation of systems.
These properties of the systems precludes the use of model adapted from the classical mathematical tools.
The approach proposed in this paper is more feasible and is very useful in expert system of crop production control.
Authors
J. Weiping, T. Hanqin
Keywords
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