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作 者:朱晓智 张蕾[1] 韩媛媛[1] 郭腾佐 李洪瑛 ZHU Xiaozhi;ZHANG Lei;HAN Yuanyuan;GUO Tengzuo;LI Hongying(College of Mathematics and Computer Science,Hengshui University,Hengshui 053000,China)
机构地区:[1]衡水学院数学与计算机学院,河北衡水053000
出 处:《河南科技》2023年第18期23-26,共4页Henan Science and Technology
基 金:2022年河北省大学生创新创业训练项目“基于RT-thread的小麦病虫害检测系统”(S202210101030)。
摘 要:【目的】为解决小麦病虫害问题,设计出一款基于RT-thread物联网操作系统的小麦病虫害检测系统。【方法】该检测系统以STM32H750XBH6单片机为核心主控板,使用神经网络对小麦病虫害进行识别。同时,该检测系统采用OneNET物联网云平台来实现数据的上行,并使用OneNET view组件实现对数据的二维显示。【结果】系统稳定运行后,能在多种恶劣环境中识别出不同的小麦病虫害问题,并通过调用数据库来给出该健康状况下的解决方案。【结论】该系统不仅能降低因小麦病虫害带来的损失,还能减少人力物力的投入。[Purposes]In order to solve the problem of wheat diseases and insect pests,a wheat diseases and insect pests detection system based on RT-thread Internet of Things operating system was designed.[Methods]The detection system uses STM32H750XBH6 single-chip microcomputer as the core main control board,and uses neural network to identify wheat diseases and insect pests.At the same time,the detection system uses the OneNET IoT cloud platform to realize the uplink of data,and uses the OneNET view component to realize the two-dimensional display of data.[Findings]After the stable operation of the system,different wheat diseases and insect pests can be identified in a variety of harsh environments,and the solution under this health condition can be given by calling the database.[Conclusions]The sys⁃tem can not only reduce the loss caused by wheat diseases and insect pests,but also reduce the input of manpower and material resources.
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