基于BP神经网络的农业LED光源环境研究
Research of Control System of LED Light Source in Agriculture Based on BP Neural Network
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的主要表现形式。本文在了解了国内外将LED应用于农业的现状的基础上,提出了农业LED光源环境的原理;论述了环境系统的总体设计和模块设计,并将BP神经网络技术结合到该环境中。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。
How to improve the quality of production in agriculture has become the current focus of the work of agriculture. Neural network technology is now the main expression form of agricultural information. On the basis of sufficient research on national and foreign current status of LED which used in agriculture, the article advances the principles 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 section. We apply BP neural network technology to the environment. 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.
陈玮、陈琛、李旸
农业科学技术发展农业科学研究自动化技术、自动化技术设备
BP神经网络农业LED光源环境
BP neural networkAgricultural LEDLight source environment
陈玮,陈琛,李旸.基于BP神经网络的农业LED光源环境研究[EB/OL].(2010-11-22)[2025-05-11].http://www.paper.edu.cn/releasepaper/content/201011-496.点此复制
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