河南农业科学 ›› 2021, Vol. 50 ›› Issue (1): 10-15.DOI: 10.15933/j.cnki.1004-3268.2021.01.002

• 综述 • 上一篇    下一篇

软计算技术在农业生产中的应用研究进展

田野,孙瑞志   

  1. (中国农业大学 信息与电气工程学院,北京 100083)
  • 收稿日期:2020-07-23 出版日期:2021-01-15 发布日期:2021-01-15
  • 通讯作者: 孙瑞志(1964-),男,山东莱州人,教授,博士,主要从事计算机网络及农业信息处理技术研究。E-mail:sunruizhi@cau.edu.cn
  • 作者简介:田野(1982-),男,北京人,工程师,在读博士研究生,研究方向:农业信息处理技术。E-mail:794631096@qq.com
  • 基金资助:
    中华人民共和国国土资源部资助项目(201511010-02)

Application Advance of Soft Computing Technology in Agricultural Production

TIAN Ye,SUN Ruizhi   

  1. (College of Information and Electrical Engineering,China Agricultural University,Beijing 100083,China)
  • Received:2020-07-23 Published:2021-01-15 Online:2021-01-15

摘要: 软计算(Soft computing,SC)技术是通过对不确定、不精确及不完全真值的容错以取得低代价的解决方案和鲁棒性,运用模糊逻辑结合智能化技术解决复杂系统中带有不确定因素的问题,使之更接近客观事物的真实反映。随着我国农业发展进入智慧化阶段,软计算技术在农业生产中得到了越来越广泛的应用。在农作物产量预测、杂草检测以及土地利用和土地覆盖监测3个方面对软计算技术应用研究进展进行阐述,并对软计算技术在农业中的发展前景进行了展望,以期为保证我国粮食安全,建设世界一流水平农业提供理论支持。

关键词: 软计算, 产量预测, 杂草检测, 土地利用, 土地覆盖

Abstract: Soft computing is a collection of methodologies that aim to exploit tolerance for imprecision and uncertainty to achieve tractability,robustness and low solution cost.The problems with uncertain factors in complex systems is solved by combining fuzzy logic with intelligent technology,to access the reality of the objective facts.With the development of Chinese agriculture into the intelligent stage, soft computing technology has been used in agricultural production more and more widely.The application research of soft computing techniques in crop yield prediction,weed detection and monitoring of land use and land cover were elaborated,and the prospects of soft computing techniques in agriculture application research and development was discussed in this paper so as to provide theoretical support for ensure food security in our country and the construction of a world-class level of agriculture.

Key words: Soft computing, Yield prediction, Weed detection, Land use, Land cover

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