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作 者:吴臻 倪培燊 黄培伟 邵泳志 WU Zhen;NI Peishen;HUANG Peiwei;SHAO Yongzhi(School of Mechanical Engineering,Guangdong Ocean University,Zhanjiang 524088,China)
机构地区:[1]广东海洋大学机械工程学院,广东湛江524088
出 处:《现代农业装备》2025年第2期93-97,122,共6页Modern Agricultural Equipment
基 金:广东海洋大学2024年度校级大学生创新创业训练项目(CXXL2024073)。
摘 要:为采集菠萝果相数据,监控采摘机器作业情况,智能展示分析农业信息,设计了一种基于物联网的菠萝采摘智慧农业监控平台。根据平台的结构与功能需求,硬件部分使用STM32单片机作为控制核心,通过通讯设备、传感器和定位模块进行信息收集与机器监控,借助OneNET物联网云平台传输数据到软件后台。软件部分使用Java语言开发,在网页上展示机器状况与农业信息,以可视化图表显示数据智能分析结果,并通过MySQL数据库存储数据。测试结果表明平台运行稳定,功能达到设计预期,可进行自动化采集果相数据、智能化监控机器状况和可视化分析农业信息。平台的使用能够解决农业信息收集困难问题,为工作人员实施科学生产决策提供参考,提高菠萝生产智慧农业发展程度,对推动农业现代化进程提供帮助。In order to collect pineapple fruit phase data,monitor the operation of picking machines,and intelligently display and analyze agricultural information,a smart agriculture monitoring platform of pineapple picking based on the Internet of Things was designed.According to the structure and functional requirements of the platform,the hardware part used STM32 microcontroller as the control core.Information collection and machine monitoring were carried out through communication devices,sensors and positioning modules,and data was transmitted to the background with the help of OneNET IoT cloud platform.The software was developed in Java,displays machine conditions and agricultural information on the web page,displayed the results of intelligent data analysis in visual charts,and stored data through the MySQL database.The test results showed that the platform was stable in operation,the function met the design expectations,and could be used for automatic collection of fruit phase data,intelligent monitoring of machine status and visual analysis of agricultural information.The use of the platform can solve the problem of agricultural information collection,provide reference for staff to implement scientific production decisions,improve the development degree of smart agriculture in pineapple production,and help to promote the process of agricultural modernization.
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