摘要
针对花椒种植过程中信息监控及智能分析不足的问题,论文设计开发了一套智能监控及分析系统。系统设计总体包括数据采集层、网络传输层、分析应用层。数据采集层中的各种传感器设备负责采集花椒的环境参数与图像数据,在网络传输层实现了有线及无线数据远距离传输,并对应用层进行分析,设计了系统6个模块。该系统在贵州晴隆花椒生产基地进行了安装、调试和部署。通过实地验证,该系统符合设计需求和各项指标,采用智能监控及分析系统使得花椒种植产量和质量得到了有效提升,节省了企业管理成本。
To address the issue of inadequate information monitoring and intelligent analysis during the cultivation of Zanthoxylum bungeanum,a comprehensive intelligent monitoring and analysis system was designed and developed in this study.The system design consisted of a data acquisition layer,a network transmission layer,and an analysis application layer.Different sensor devices within the data acquisition layer were tasked with gathering environmental parameters and image data of Z.bungeanum.These sensors facilitated the long-distance transmission of wired and wireless data in the network transmission layer,which was then analyzed in the application layer to design six modules of the system.The system was installed,commissioned,and then deployed at the Qinglong pepper production base in Guizhou.After conducting field verification,it was confirmed that the system successfully met the design requirements and various indicators.The intelligent monitoring and analysis system has significantly enhanced the yield and quality of Z.bungeanum cultivation,resulting in cost savings for the enterprise in terms of management expenses.
作者
徐杨
黄易仟
李论
蒋林
Xu Yang;Huang Yiqian;Li Lun;Jiang Lin(School of Big Data and Information Engineering,Guizhou University,Guiyang 550025,Guizhou,China;Guizhou Xuande Zanthoxylum Industry Development Co.,Ltd.,Guiyang 550018,Guizhou,China)
出处
《山地农业生物学报》
2024年第3期33-40,共8页
Journal of Mountain Agriculture and Biology
基金
贵州省科技计划项目(黔科合支撑[2021]一般176)。
关键词
山地花椒
深度学习
智能监控
Zanthoxylum bungeanum
deep learning
intelligent surveillance