Research on a method of data aggregation of precision agriculture information

被引:0
|
作者
Chen, Bao-Yuan [1 ]
Lan, Ya-Qiong [1 ]
Ma, Di [1 ]
Liu, Jing-Yang [1 ]
Huo, Zhi-Chao [1 ]
机构
[1] The higher educational key laboratory for Measuring and Control Technology, Instrumentations of Heilongjiang Province, Harbin University of Science and Technology, Harbin 150080, China
关键词
Agricultural technology - Technology transfer - Wireless sensor networks - Energy utilization - Data acquisition;
D O I
10.14257/ijunesst.2014.7.1.08
中图分类号
学科分类号
摘要
As modern agriculture develops, the demand to the agricultural information acquirement technology grows. This paper applies the wireless sensing data acquisition technology to the agricultural production. A data aggregation method based on matching pursuit algorithm is proposed according to the features and function of WSN data aggregation. By the theoretical analysis and experimental simulation, it' s proved that the data aggregation of wireless sensor network can be achieved with the application of matching pursuit algorithm. Thus both the amount of data transmission and energy consumption of the network are reduced effectively, the life of the network extends. And the high data reconstruction accuracy helps the large-scale application. © 2014 SERSC.
引用
收藏
页码:83 / 90
相关论文
共 50 条
  • [41] Multidisciplinary teams: A necessity for research in precision agriculture systems
    Bullock, David S.
    Kitchen, Newell
    Bullock, Donald G.
    CROP SCIENCE, 2007, 47 (05) : 1765 - 1769
  • [42] Big Data Transformation in Agriculture: From Precision Agriculture Towards Smart Farming
    Angeles Rodriguez, Maria
    Cuenca, Llanos
    Ortiz, Angel
    COLLABORATIVE NETWORKS AND DIGITAL TRANSFORMATION, 2019, : 467 - 474
  • [43] Remote Sensing Data: Useful Way for the Precision Agriculture
    Salima, Yousfi
    Marin Peira, Jose Fernando
    Rincon de la Horra, Gregorio
    Mauri Ablanque, Pedro V.
    2019 SIXTH INTERNATIONAL CONFERENCE ON INTERNET OF THINGS: SYSTEMS, MANAGEMENT AND SECURITY (IOTSMS), 2019, : 603 - 609
  • [44] Methods of data interpolations obtained by precision agriculture sensors
    Nunes, Emanuele Helmann
    Machado, Thiago Martins
    Reynaldo, Etore Francisco
    Pereira, Cassiano Spaziani
    NATIVA, 2018, 6 (06): : 681 - 688
  • [45] PROCESSING OF BIG DATA IN INTERNET OF THINGS AND PRECISION AGRICULTURE
    Stoces, Michal
    Masner, Jan
    Kanska, Eva
    Jarolimek, Jan
    AGRARIAN PERSPECTIVES XXVII - FOOD SAFETY - FOOD SECURITY, 2018, : 353 - 358
  • [46] A Realtime Spatiotemporal Data Acquisition System for Precision Agriculture
    Lee, Seong-Hun
    Oumaima, Messaoudi
    Ryu, Su-Hyeon
    Park, Jaehwa
    2017 13TH INTERNATIONAL CONFERENCE ON INTELLIGENT ENVIRONMENTS (IE 2017), 2017, : 149 - 152
  • [47] DATA MINING FOR THE ASSESSMENT OF MANAGEMENT AREAS IN PRECISION AGRICULTURE
    Schemberger, Elder E.
    Fontana, Fabiane S.
    Johann, Jerry A.
    de Souza, Eduardo G.
    ENGENHARIA AGRICOLA, 2017, 37 (01): : 185 - 193
  • [48] A data generator for evaluating spatial issues in precision agriculture
    Pokrajac D.
    Fiez T.
    Obradovic Z.
    Precision Agriculture, 2002, 3 (3) : 259 - 281
  • [49] A Smart Phone based Information Sharing System in Precision Agriculture
    Vandana, B.
    Kumar, S. Sathish
    INTERNATIONAL CONFERENCE ON SUSTAINABLE ENGINEERING AND TECHNOLOGY (ICONSET 2018), 2018, 2039
  • [50] The Data Acquisition for Precision Agriculture Based on Remote Sensing
    Ma, Qingyuan
    Chen, Qiang
    Shang, Qingsheng
    Zhang, Chao
    2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, 2006, : 888 - +