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中国农学通报 ›› 2021, Vol. 37 ›› Issue (20): 113-118.doi: 10.11924/j.issn.1000-6850.casb2021-0135

所属专题: 现代农业发展与乡村振兴

• 农业信息·科技教育 • 上一篇    下一篇

农业信息处理技术研究与应用进展

欧非凡1(), 张超群2()   

  1. 1中国农业大学信息与电气工程学院,北京 100083
    2广西民族大学人工智能学院,南宁 530006
  • 收稿日期:2021-02-07 修回日期:2021-04-21 出版日期:2021-07-15 发布日期:2021-08-06
  • 通讯作者: 张超群
  • 作者简介:欧非凡,男,1998年出生,广西南宁人,本科在读,研究方向为计算机科学与技术。通信地址:100083 北京市海淀区清华东路17号 中国农业大学东校区,E-mail:1045092534@qq.com
  • 基金资助:
    广西科技基地和人才专项项目(2017AD23056)

The Research and Application Progress of Agricultural Information Processing Technology

Ou Feifan1(), Zhang Chaoqun2()   

  1. 1College of Information and Electrical Engineering, China Agricultural University, Beijing 100083
    2Institute of Artificial Intelligence, Guangxi University for Nationalities, Nanning 530006
  • Received:2021-02-07 Revised:2021-04-21 Online:2021-07-15 Published:2021-08-06
  • Contact: Zhang Chaoqun

摘要:

农业信息处理技术是指将信息技术具体应用到农业物联网领域的服务,是现代农业发展的理性选择,也是未来农业发展的趋势及其发展水平的主要标志。基于中国知网(CNKI)中文文献检索数据,分别从农业数据挖掘技术、农业数据处理技术、农业预测预警技术、农业人工智能技术等4个方面,对近年中国农业信息处理技术研究与应用的进展进行简要分析。农业信息处理技术未来将会呈现出集成化、专业化和智能化的发展趋势。

关键词: 农业物联网, 信息技术, 农业大数据, 人工智能, 智慧农业

Abstract:

Agricultural information processing technology refers to the specific application of information technology to the service of agricultural internet of things. It is a rational choice for modern agriculture, and it is also the main indicator of the future trend of agricultural and its level of development. This article is based on the literature search data of China National Knowledge Infrastructure (CNKI). It makes a brief analysis of the research and application of China's agricultural information processing technology in recent years from four aspects: agricultural data mining technology, agricultural data processing technology, agricultural forecasting and early warning technology, and agricultural artificial intelligence technology. The future of agricultural information processing technology will show the development trend of integration, specialization and intelligence.

Key words: internet of things in agriculture, information technology, agricultural big data, artificial intelligence, smart agriculture

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