Many elements of the greenhouse are constraint and coordinate

in order to make an effective

rational decision

the global optimization capability of PSO algorithm and the nonlinear reflecting capability of BP neural network are applied to optimizate the weights and thresholds of BP neural network and fuse the data synchronously detected by multi-sensors（temperature sensors

humidity sensors and light sensor）.The result of simulation shows that the data fusion algorithm of BP neural network based on PSO can get accurate information of the greenhouse

and improve the accuracy and effectiveness of greenhouse control.