The realtime monitoring and remote controlling to growing environmental parameters of crops, such as temperature, humidity and illumination, which is a significant method in agricultural modernization. The system takes the ARM embedded microprocessor 2410 as the hardware platform, combines with Linux operating system and ARM Developer Suite (ADS) 1.2 integrated development environments. Moreover, it forms a measurement and control system of multisensor information fusion, which based on the DS evidence theory and the BP neural network algorithm. The BP neural network provides some pieces of evidence; while DS evidence theory could reduce the nondeterminacy. With the application of both multisensor information fusion algorithms, finally, the reliability is 93.47% of section, with the basic probability fusion of three sensors in three different moments. Through the simulation result of the experiment, we can see a higher recognition rate and good application prospect of the system.
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