The control of the plant growth environment based on data fusion algorithm

In the greenhouse control, there is a coupling relationship among the parameters under the multi-parameter control, but a traditional control strategy is based on a single parameter. This paper puts forward a multi-parameter fusion method about the integrated multi-parameter control of the growth environment, which is a two-level data fusion adopting an integrated control of temperature, humidity and illumination. In the one-level fusion, an adaptive weighted method is utilized; in the two-level fusion, a D-S evidence theory algorithm is employed. The general control method and experimental research using the data fusion technology have carried out in this paper. Experimental results show that the multi-parameter fusion method can benefit the systems combination control and the optimization of system equipment. In this case, the plants can be provided with an optimal environment and the environmental parameters can be controlled more stably and smoothly.