利用人工神经网络建立植物电信号与环境因子关系

    Relationship Between Plant Physiological Signal and Environment by Using Artificial Neural Network

    • 摘要: 利用人工神经网络建立植物电信号与环境因子(光、温度、湿度)的关系,表明对植物电信号与环境因子定量研究是可能的;进而将植物电信号作为生理反馈信息,建立了植物电位与环境光、温度、湿度等因子的定量关系,建立与输出温度设置的关系,为温室环境调控提供一种方法。

       

      Abstract: A model to describe the quantitative relationship between plant physiological signal and environment by using artificial neural network was developed. An attempt to find an method for greenhouse regulation through the function of temperature setting from physiological feedback information, illumination and humidity was made.

       

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