基于物联网的数字种植系统设计与实现

发布时间：2018-06-18 02:07

本文选题：数字种植 + 物联网　；参考：《大连理工大学》2015年硕士论文

【摘要】：数字种植研究是物联网技术在农业领域的重要发展方向,其主要目的是运用高效的管理方式进行农业生产,由经验指导向数字化程度迈进。在传统农业中,农作物的管理多凭借主观经验,缺少明确标准的依据。随着信息技术的发展,数字农业系统相对于传统农业有着无法比拟的优势,将会极大的促进农业的发展。本文设计并实现了数字种植系统,该系统通过传感器采集土壤主要信息,利用ZigBee局域网络实现转发控制,通过GPRS技术将信息无线传送至服务器,并实时登陆访问。服务器中存有植物数据库,根据所接收的土壤信息,通过推荐算法选择最适合的农作物种类。可以实时的监测农作物的环境状态,准确的了解植物生长环境并进行远程控制。本文首先介绍了当前农业发展存在的问题以及物联网技术的发展前景,应用物联网中的ZigBee协议组建了采集节点网络。在农作物的推荐算法中,系统引入了加权马氏距离判别分析算法,并详细的介绍了其原理和在推荐算法中所具有的优势。在此基础上,完成了系统功能设计、结构设计。采用B/S模式,基于JavaWeb技术应用MyEclipse环境开发了网络服务平台,供用户查看数据并运行算法,用户可以通过网络实时的观测和控制设备。系统可以满足农业现场需求,一经投入使用,将会有广阔的市场前景。
[Abstract]:Digital planting research is an important development direction of Internet of things technology in the field of agriculture. Its main purpose is to use efficient management to carry out agricultural production. In traditional agriculture, crop management depends on subjective experience and lacks the basis of clear standards. With the development of information technology, digital agriculture system has incomparable advantages over traditional agriculture, which will greatly promote the development of agriculture. In this paper, a digital planting system is designed and implemented. The system collects the main soil information by sensors, uses ZigBee local area network to realize the forwarding control, wirelessly transmits the information to the server through GPRS technology, and logs in and accesses in real time. The plant database is stored in the server. According to the soil information received, the most suitable crop type is selected by the recommendation algorithm. It can monitor the environmental status of crops in real time, accurately understand the plant growth environment and remote control. This paper first introduces the problems existing in the current agricultural development and the prospect of the development of the Internet of things technology, and uses the ZigBee protocol in the Internet of things to set up a collection node network. In the crop recommendation algorithm, the weighted Markov distance discriminant analysis algorithm is introduced, and its principle and advantages in the recommendation algorithm are introduced in detail. On this basis, the system function design and structure design are completed. Based on Java Web technology and MyEclipse environment, a network service platform is developed based on B / S mode. The platform can be used for users to view data and run algorithms. Users can observe and control devices in real time through the network. The system can meet the demand of agricultural field, once put into use, there will be a broad market prospect.
【学位授予单位】：大连理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP311.52;TP391.44;TN929.5

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