Frontiers of Data and Computing ›› 2020, Vol. 2 ›› Issue (2): 101-110.doi: 10.11871/jfdc.issn.2096-742X.2020.02.008

• Special Issue: Data Analysis Technology & Application • Previous Articles     Next Articles

Big Data Technology Applications in Agriculture

Wang Wensheng,Guo Leifeng()   

  1. Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081,China
  • Received:2020-02-10 Online:2020-04-20 Published:2020-06-03
  • Contact: Leifeng Guo E-mail:guoleifeng@caas.cn

Abstract:

[Objective] Agriculture is an important area for big data technology applications. By reviewing and analyzing the focuses and directions of big data applications in agriculture, we want to find an effective way to promote the development of agricultural big data technologies. [Methods] This paper introduces the big data technology from a holistic perspective, and puts forward the development demands and characteristics of agricultural big data from the key fields including precision agriculture, agricultural Internet of things, agricultural remote sensing and so on. [Results] In this paper, the definition and characteristics of agriculture big data technologies are analyzed from the perspective of government and academia. The key technologies related to the acquisition, management and processing of agricultural big data are introduced. The big data based intelligent control of precision agriculture, agricultural production environment monitoring, agricultural remote sensing and early warning technologies are analyzed. [Limitations] As one of the important fields of big data applications, agricultural big data needs to be further strengthened in aspects of data platform, management mechanism, technology support and many others. [Conclusions] Agricultural big data research will be an important direction of agricultural and rural innovation and development in the next step. It will play an important role in reshaping agricultural production relations, building agricultural information ecosystems, improving the rural governance system, and helping the development of green agriculture.

Key words: agriculture big data, key technology, precision agriculture, agriculture IoT, agriculture remote sensing