Journal of Agricultural Science and Technology ›› 2019, Vol. 21 ›› Issue (1): 1-10.DOI: 10.13304/j.nykjdb.2018.0342

    Next Articles

Application of Big Data in Precision Agriculture

QI Haixia1,2, LIN Zhenxin1,2, LAN Yubin1,2*   

  1. 1.College of Engineering, South China Agricultural University, Guangzhou 510642; 2.International Laboratory of Agricultural Aviation Pesticide Spraying Technology, National Center for International Collaboration Research on Precision Agricultural Aviation Pesticides Spraying Technology, Guangzhou 510642, China
  • Received:2018-06-04 Online:2019-01-15 Published:2018-08-03

大数据在精准农业上的应用

漆海霞1,2,林圳鑫1,2,兰玉彬1,2*   

  1. 1.华南农业大学工程学院, 广州 510642; 2.国家精准农业航空施药技术国际联合研究中心, 农业航空应用技术国际联合实验室, 广州 510642
  • 通讯作者: *通信作者:兰玉彬,教授,博士,博士生导师,主要从事精准农业航空方向研究。E-mail: ylan@scau.edu.cn
  • 作者简介:漆海霞,副教授,博士,硕士生导师,主要从事精准农业航空应用研究。E-mail:qihaixia_scau@126.com。
  • 基金资助:
    广东省科技计划项目(2017A020225039);国家重点研发计划专项(2016YFD0200700);广东省科技厅重点专项(2017B010117010);广东省教育厅项目(2015KGJHZ007)资助。

Abstract: Precision agriculture is the future way for agricultural modernization. The rapid expansion of agricultural data and the development of big data technology provide a new method for the development of precision agriculture, and become an important force leading to the development of precision agriculture. Firstly, this paper introduced the definition and acquisition methods of big data. At the same time, the concept of precision agriculture were introduced for some problems existing in the current agricultural field, and its source and development conditions. Combining the industrial chain of agriculture with the application of big data, this paper analyzed the process of big data to achieve precision agriculture, and the problems in the application of Chinas agricultural big data.

Key words: agriculture, big data, produce, management, market

摘要: 精准农业是农业现代化的必由之路,现代急剧膨胀的农业数据和大数据技术的发展为精准农业的发展提供了一种新的方法,成为引领精准农业发展的一支重要力量。首先介绍了大数据的定义及获取方式,同时针对当前农业领域存在的一些问题,引入了精准农业的概念,并介绍了其来源与发展条件,将农业产业链与大数据应用结合起来,解析大数据实现精准农业的过程,并剖析了中国农业大数据应用方面所存在的问题。

关键词: 农业, 大数据, 生产, 管理, 市场