摘要
传统的温室往往受到地域、温度、时令等多种参数的影响,在实际农作物生长的监测控制中存在着很多的问题。鉴于目前温室的实际情况,本研究提出了一种适合花卉生长的基于多源异构传感器和数据融合技术相结合的环境测控方法。实验表明:这种方法能够提高环境参数检测的精度和数据融合的客观性,为花卉的生长提供了较为适宜的温室生长环境。
The agriculture-oriented greenhouses are usually affected by location,temperature,season,etc.,and it is difficult to monitor and control the crops growing in them.In this paper,a system scheme based on multi-sensor detection and data fusion technology is proposed for green house monitoring and control.The arithmetic improves the objectivity of data fusion by the orders of sensor fusion according to the minimum distance clustering.By using this method,the accuracy of environment measurement is improved,and the temperature,humidity and illumination in greenhouse are well regulated so as to provide ideal conditions for greenhouse crops.
出处
《河北农业大学学报》
CAS
CSCD
北大核心
2015年第4期111-115,共5页
Journal of Hebei Agricultural University
基金
河北省自然科学基金项目(C2014204025)
河北省高等学校科学研究计划青年基金项目(QN20131083)
关键词
多传感器
数据融合
温室控制
最小距离聚类法
multi-sensor
data fusion
greenhouse control
minimum distance clustering
