基于BP神经网络的农业LED光源环境研究

如何提高农作物的生产质量,已经成为当前农业的工作重点;神经网络技术是现今农业信息化、精准化的一种表现形式。在参考国内外LED光源应用于农业现状的基础上,研究农业LED光源模拟环境;论述了环境系统的总体设计和模块原型,并将BP神经网络技术结合到该环境中,建立BP神经网络预测模型,利用神经网络学习理论对农业光源环境进行初步研究。研究显示BP神经网络技术在农业LED光源环境中具有良好的应用价值,对农作物生长的光环境研究具有重要的意义。

Research of Environment of LED Light Source in Agriculture Based on BP Neural Network

How to improve the quality of production in agriculture has become the current focus of the work of agriculture.Neural network technology is now one of the expression forms of agricultural informatization and precision.On the basis of reference on national and foreign current status of LED which used in agriculture,research the simulation of the environment based on the area of LED light source,and puts the emphasis on the design of the environment system＇s entirety and module prototype.Apply BP neural network technology to the environment.BP neural network prediction model is established.Preliminarily research the light source environment in agricultural by neural network theory.The research shows that BP neural network technology has good application value to the LED light source environment.So study on the environment of LED light source is tremendously significant.