Fuzzy Control Of Greenhouse Environment Parameters

China's agricultural production always is very important industry from ancient times, and closely related with people's lives. So it is vital importance to improve the yield and quality of agricultural products. Agricultural facilities is now an effective way to solve this problem. In this article, we use the fuzzy expert system to monitor and control external environmental factors of greenhouse crop growth, to most optimal greenhouse environment for the greenhouse crop growth.We choose greenhouse temperature, light intensity and air humidity as the system input, after discussing and analyzing of external environmental factors, and straws blinds, heating, skylights, wet curtain, LED, and fan as the system output. We are based on the optimal parameters of plant growth, and the limit parameters for plant survival, to blur in the fuzzy stage, in order to divide with evidence. But when we talk about control measures, we find three environmental factors have the coupling, leading to give intuitive control measures which have contradiction each orther. Finally, we select the fuzzy decision-making to decide the use of control measures for dealing with the problem. We find it is consistent with fuzzy rules that are given intuitively, so it is reasonable and scientific .Firstly we use Mamdani'method to get Relationship matrix in the fuzzy inference process. Secondly we use the Tsukamoto's method of the multi-dimensional fuzzy reasoning method. Finally, anti-blur through the center of gravity method bring out the extent of the actuating mechanism' opening.We bring about fuzzy expert system based greenhouse environment control in VC++ compiler environment. A lot of data were used to test whether the system is accord with that we give out the control measures by ourselves. The conclusion show that it is reasonable and accurate .It is good to improve environment for greenhouse.