基于3G和ARM嵌入式系统的农作物图像信息定时采集系统
发布时间：2018-11-04 14:08
【摘要】：为获得农作物生长过程的图像信息、满足农作物生长过程监测和病虫/草害监测的应用需求,同时减少图像数据远程传输流量费用,设计开发了一个基于ARM嵌入式平台、OV9650图像传感器及3G无线模块的农作物图像信息定时采集和管理系统。本研究在较成熟的硬件集成系统基础上,实现功能完善的农作物图像采集节点软件系统;同时设计实现了基于中间件和WEB技术的服务端应用管理系统。应用结果表明,系统运行稳定,能按设定的时间连续获取农作物生长图像信息,分辨率高达1 280×1 024,获得的图像质量可满足应用需求;按1帧/d图像计算,1个月的流量仅78 MB。
[Abstract]:In order to obtain the image information of crop growth process, to meet the application requirements of crop growth process monitoring and pest / grass monitoring, and to reduce the cost of remote transmission of image data, an embedded platform based on ARM is designed and developed. OV9650 image sensor and 3G wireless module of crop image information timing acquisition and management system. On the basis of the mature hardware integration system, this paper realizes the complete function of crop image acquisition node software system, and designs and implements the server application management system based on middleware and WEB technology. The application results show that the system runs stably, can continuously obtain crop growth image information according to the set time, and the resolution is as high as 1 280 脳 1 024. The obtained image quality can meet the needs of application. Based on 1 frame / d image, the traffic in one month is only 78 MB.
【作者单位】： 江苏省农业科学院农业信息研究所;
【基金】：江苏省农业科技自主创新资金探索类项目[编号:CX(13)5060];江苏省农业科技自主创新资金[编号:CX(15)1002]
【分类号】：S126;TP391.41
，
本文编号：2310047
[Abstract]:In order to obtain the image information of crop growth process, to meet the application requirements of crop growth process monitoring and pest / grass monitoring, and to reduce the cost of remote transmission of image data, an embedded platform based on ARM is designed and developed. OV9650 image sensor and 3G wireless module of crop image information timing acquisition and management system. On the basis of the mature hardware integration system, this paper realizes the complete function of crop image acquisition node software system, and designs and implements the server application management system based on middleware and WEB technology. The application results show that the system runs stably, can continuously obtain crop growth image information according to the set time, and the resolution is as high as 1 280 脳 1 024. The obtained image quality can meet the needs of application. Based on 1 frame / d image, the traffic in one month is only 78 MB.
【作者单位】： 江苏省农业科学院农业信息研究所;
【基金】：江苏省农业科技自主创新资金探索类项目[编号:CX(13)5060];江苏省农业科技自主创新资金[编号:CX(15)1002]
【分类号】：S126;TP391.41
，
本文编号：2310047
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