摘要
为了归纳当前农业物联网领域研究热点,以CNKI中2010—2016年期刊、学位和会议的农业物联网研究领域论文为研究对象,数据分析采用基于Java平台的知识图谱分析软件Citespace软件,从文献计量和社会网络分析的角度对农业物联网研究团队、关键词特征进行了分析.结果显示:共得到有效文献997篇,从2010年起,农业物联网研究领域的文献开始呈逐年上升的趋势,但是经典论文较少,同时形成了以国家农业信息化工程技术研究中心和中国农业大学信息与电气工程学院、湖南农业大学信息科学技术学院为核心的两大研究团队;物联网、农业物联网、农业、智能农业、农业现代化、信息技术和农业信息化等出现频次最多;技术领域关注较多的有无线传感器网络、紫蜂(Zigbee)、传感器和监控系统;应用领域关注较多的有设施农业、智能农业和水产养殖等,但是由于研究与应用还处于初级阶段,在2010年到2016年间研究的重点不断变化,未形成学者普遍关注的研究热点.结合对农业物联网当前研究的分析,今后农业物联网的研究在技术上应更加注重低成本、低功耗、小型化和高可靠性的专业传感器的研发,以适应更广泛的农业领域,如大田种植、畜禽养殖等;同时应关注数据的智能和实时处理以及农业信息的时空特性.
In order to find hot topics in field of agricultural Internet of Things （ IOT）, bibliometric analy- sis was carried out in the field of Agriculture Internet of Things based data of papers, including journal papers, thesis and conference papers, published from 2010 -2016 by way of Citespace, which is a bib- liometric analysis software using knowledge graph. The results showed that total 997 papers were ac- quired, and that the quantity of papers in agricultural IOT increased year by year, especially from 2012 to 2014, while, classic papers were few based on the half-life period analysis. Two core research groups were found, represented by National Engineering Research Center for Information Technology in Agricul- ture and College of Information and Electrical Engineering of China Agricultural University, College of In- formation Technology of Hunan Agricultural University. The keywords mainly had included IOT, Agricul- tural IOT, Agriculture, Smart Agriculture, Agricultural Modernization, Information Technology, Agricul- tural Informationization. While for technology, mainly focusing on Wireless Sensor Network, Zigbee, sensor and monitoring system, which mainly had used in fields of aquaculture, facilities agriculture, andso on. Because research on agricultural IOT was in the beginning period, the key points changed from 2010 to 2016 and no obvious hot points were found. It was suggested sors with low cost, low power consumption, high reliability, and data teristics of agricultural information. to pay attention on small-size sen- mining and the time-spatial charac-
作者
郭祥云
刘杰
徐龙琴
张京京
刘双印
GUO Xiangyun;LIU Jie;XU Longqin;ZHANG Jingjing;LIU Shuangyin(School of Information Management, Beijing Information Science and Technology University, Beijing 100192, China;School of Information Technology, Changchun Vocational Institute Of Technology, Changchun 130033, China;College of Computer and Information Engineering, Tianjin Agricultural University, Tianjing 3003843, China;College of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China)
出处
《仲恺农业工程学院学报》
CAS
2017年第4期32-39,45,共9页
Journal of Zhongkai University of Agriculture and Engineering
基金
国家自然科学基金(61471133)
广东省自然科学基金(2016A030310333)资助项目
