摘要
为解决在果园管理中人工成本高和效率低的问题,本文设计了一款基于物联网的果园管理系统。系统应用K-mean算法和加权平滑算法,基于大数据分析,对果园中土质、果树的施肥、除虫等方面进行实时监控、远程操作和预警处理。测试的结果表明,该系统能自动生成园地、肥料、果实含糖量和密度的相关数据,有益于提高果园生产和管理的智能化水平。
To solve the problems of high labor costs and low efficiency in orchard management,this article designs an orchard management system based on the Internet of Things.The system applies K-mean algorithm and weighted smoothing algorithm,based on big data analysis,to perform real-time monitoring,remote operation,and warning processing on soil quality,fertilization,pest control,and other aspects of fruit trees in orchards.The test results indicate that the system can automatically generate relevant data on orchard,fertilizer,fruit sugar content,and density,which is beneficial for improving the intelligence level of orchard production and management.
作者
连傲星
褚颜魁
尹章轩
谢滨权
孙雨祥
LIAN Aoxing;CHU Yankui;YIN Zhangxuan;XIE Binquan;SUN Yuxiang(Engineering School,Zhengzhou Technology and Business University,Zhengzhou,China,450000)
出处
《福建电脑》
2025年第5期77-80,共4页
Journal of Fujian Computer
关键词
果园管理
果园生产
K-mean算法
加权平滑算法
Orchard Management
Orchard Production
K-mean Algorithm
Weighted Smoothing Algorithm
