Modeling Of The Plant Tissue Culture Seedling Based On Multisensor Information Fusion

In this paper, a growth modeling method of the plant tissue culture seedling under the external force action of the multi-environment factors was comprehensively explored. First, the growth of the plant tissue culture which based on CO₂ sensor, temperature sensor and humidity sensor for the multi-sensor information fusion is introduced and simulated by computer, which used the characteristics of level information fusion with use of the Kalman. Second, models the growth by use of the multiple statistical analysis of Logistic regression equation for the plant tissue culture seedling with the software tool of the Minitab15, which based on the characteristics of level information fusion. And we can see the results from the modeling equation of this trial that the temperature and the humidity can be a direct impact on the growth of the plant tissue culture in a certain range , and CO₂ controls the growth of the plant tissue culture: If CO₂ reduces, the plant tissue culture grows slowly, if CO₂ increases, the plant tissue culture grows faster.The paper preliminary explored the growth modeling method of the plant tissue culture seedling based on multivariate statistical information fusion technology for the physiological growth research, then created a model in MINITAB for a better prediction of the plant growth analysis and verified its feasibility and accuracy of the growth modeling for the foundation of the next phase in-depth study.