[1]李瑞,敖雁,孙启洵,等.大田农业物联网应用现状与展望[J].北方园艺,2018,42(14):148-153.[doi:10.11937/bfyy.20180081]
LI Rui,AO Yan,SUN Qixun,et al.Application and Prospect of Agricultural Internet of Things in Crop Field[J].Northern Horticulture,2018,42(14):148-153.[doi:10.11937/bfyy.20180081]
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LI Rui,AO Yan,SUN Qixun,et al.Application and Prospect of Agricultural Internet of Things in Crop Field[J].Northern Horticulture,2018,42(14):148-153.[doi:10.11937/bfyy.20180081]
大田农业物联网应用现状与展望
《北方园艺》[ISSN:1001-0009/CN:23-1247/S]
卷:
第42卷
期数:
2018年14
页码:
148-153
栏目:
出版日期:
2018-07-25
- Title:
- Application and Prospect of Agricultural Internet of Things in Crop Field
- 文献标志码:
- A
- 摘要:
- 随着物联网概念的提出,农业物联网逐渐成为近年来国内外农业科学领域研究的热点,该技术是智慧农业的核心,对促进现代农业发展具有积极作用。该研究从物联网的概念入手,剖析了农业物联网及其体系构成,介绍了农业物联网在大田上的具体应用,并对当前农业物联网体系的完整性作出补充,以期完善基于农业物联网的大田作物生长监测和智慧管理,解决大田区域化实际应用中所面临的问题,进而实现对农业资源的高效利用、提高农业生产率的最终目标。
- Abstract:
- With the introduction of internet of things,agricultural internet of things gradually has become a hot spot in the field of agricultural science both at home and abroad.This technology is the core of intelligent agriculture and played a positive role in promoting the development of modern agriculture.This study started from the concept of internet of things (IoT),analyzed the composition of agricultural IoT,and introduced the specific application of agricultural IoT in the field.The agricultural IoT system and field crop growth monitoring and wisdom management would be smarter in the future.Finally,the aims,efficient utilization of agricultural resources and improvement of agricultural production,would be realized.
相似文献/References:
[1]毕洪文.基于农业物联网的设施蔬菜可追溯体系建设[J].北方园艺,2014,38(15):224.
BI Hong-wen.The Construction of Traceability System of Vegetables Based on Things Agricultural Facilities[J].Northern Horticulture,2014,38(14):224.
[2]苏戈.农业物联网在蔬菜大棚中的应用研究[J].北方园艺,2015,39(07):197.[doi:10.11937/bfyy.201507053]
SU Ge.Applied Research on Agricultural Internet of Things in Vegetable Greenhouse[J].Northern Horticulture,2015,39(14):197.[doi:10.11937/bfyy.201507053]
备注/Memo
第一作者简介:李瑞(1994-),女,江苏徐州人,硕士研究生,研究方向为作物图像识别与应用。E-mail:770179873@qq.com.责任作者:孙成明(1973-),男,江苏宿迁人,博士,教授,现主要从事作物生长模拟与智能监测等研究工作。E-mail:cmsun@yzu.edu.cn.基金项目:国家自然科学基金资助项目(31671615,31701355);江苏高校‘青蓝工程’中青年学术带头人资助项目(2016年)。收稿日期:2018-03-12
更新日期/Last Update:
2018-08-20