摘要
以咸宁市农业高新技术研发试验区为范例,分析基于大数据的物联网技术在农业生产中的应用现状。结果表明,基于大数据的物联网技术可实现温室环境参数自动控制和水肥智能化供给,有效提高农业生产效率。同时,通过相关算法和预测模型可实现相关作物病虫害预警,为病虫害防控提供新的模式和思路。
Taking Xianning agricultural high-tech research and development pilot zone as an example,the application status of internet of things technology based on big data in agricultural production were analyzed.The results showed that the internet of things technology based on big data could realize automatic control of greenhouse environmental parameters and intelligent supply of water and fertilizer,and effectively improve agricultural production efficiency.At the same time,relevant algorithms and prediction models could realize relevant crop diseases and pest warning,which provided new models and ideas for pest prevention and control.
作者
杨霄
刘伟
王朕
邱首哲
白俊凯
李晶莹
YANG Xiao;LIU Wei;WANG Zhen;QIU Shou-zhe;BAI Jun-kai;LI Jing-ying(Xianning Academy of Agricultural Sciences,Xianning 437100,Hubei,China;Qinhuangdao Xiaoma Internet of Things Technology Development Co.,Ltd.,Qinhuangdao 066000,Hebei,China)
出处
《湖北农业科学》
2021年第S02期385-389,共5页
Hubei Agricultural Sciences
基金
咸宁市农高区农业高新技术研发试验区建设项目(咸发改审批[2021]67号)
关键词
农业生产
物联网
大数据
智能化
预测模型
agricultural production
internet of things
big data
intelligence
predictive model