A survey of data mining techniques applied to agriculture

被引：1
|
作者：
Mucherino A. [1 ]
Papajorgji P. [2 ]
Pardalos P.M. [2 ]
机构：
[1] LIX, École Polytechnique, Palaiseau
[2] Center for Applied Optimization, University of Florida, Gainesville, FL
来源：
Operational Research | 2009年 / 9卷 / 2期
基金：
美国国家科学基金会;
关键词：
Agriculture; Artificial neural networks; Data mining; K nearest neighbor; K-means; Optimization; Support vector machines;
D O I：
10.1007/s12351-009-0054-6
中图分类号：
学科分类号：
摘要：
In this survey we present some of the most used data mining techniques in the field of agriculture. Some of these techniques, such as the k-means, the k nearest neighbor, artificial neural networks and support vector machines, are discussed and an application in agriculture for each of these techniques is presented. Data mining in agriculture is a relatively novel research field. It is our opinion that efficient techniques can be developed and tailored for solving complex agricultural problems using data mining. At the end of this survey we provide recommendations for future research directions in agriculture-related fields. © 2009 Springer-Verlag.
引用
收藏
页码：121 / 140
页数：19
相关论文
共 50 条
  • [31] Survey On Mining Techniques For Breast Cancer Related Data
    Palivela, Hemant
    Yogish, H. K.
    Vijaykumar, S.
    Patil, Kalpana
    [J]. 2013 INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND EMBEDDED SYSTEMS (ICICES), 2013, : 540 - 546
  • [32] A Survey on Malware Detection Using Data Mining Techniques
    Ye, Yanfang
    Li, Tao
    Adjeroh, Donald
    Iyengar, S. Sitharama
    [J]. ACM COMPUTING SURVEYS, 2017, 50 (03)
  • [33] Survey on Medical Diagnosis Using Data Mining Techniques
    Sumalatha, G.
    Muniraj, N. J. R.
    [J]. 2013 INTERNATIONAL CONFERENCE ON OPTICAL IMAGING SENSOR AND SECURITY (ICOSS 2013), 2013,
  • [34] Survey on Anomaly Detection using Data Mining Techniques
    Agrawal, Shikha
    Agrawal, Jitendra
    [J]. KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 19TH ANNUAL CONFERENCE, KES-2015, 2015, 60 : 708 - 713
  • [35] Data Mining Techniques for Smart Mobility-A Survey
    Aggarwal, Apeksha
    Toshniwal, Durga
    [J]. RECENT FINDINGS IN INTELLIGENT COMPUTING TECHNIQUES, VOL 3, 2018, 709 : 239 - 249
  • [36] A Survey of Data Mining Techniques for Analyzing Crime Patterns
    Thongsatapornwatana, Ubon
    [J]. 2016 SECOND ASIAN CONFERENCE ON DEFENCE TECHNOLOGY (ACDT), 2016, : 123 - 128
  • [37] A Survey of Distance Metrics in Clustering Data Mining Techniques
    Mercioni, Marina Adriana
    Holban, Stefan
    [J]. ICGSP '19 - PROCEEDINGS OF THE 2019 3RD INTERNATIONAL CONFERENCE ON GRAPHICS AND SIGNAL PROCESSING, 2019, : 44 - 47
  • [38] Data mining techniques applied in educational environments: Literature review
    Villanueva Manjarres, Andres
    Moreno Sandoval, Luis Gabriel
    Salinas Suarez, Martha Janneth
    [J]. DIGITAL EDUCATION REVIEW, 2018, (33): : 235 - 266
  • [39] Analysis of data mining techniques applied to LMS for personalized education
    Villegas-Ch, W.
    Lujan-Mora, S.
    [J]. 2017 IEEE WORLD ENGINEERING EDUCATION CONFERENCE (EDUNINE), 2017,
  • [40] Data Mining Techniques Applied in Tax Administrations: A Literature Review
    Ordonez, Jose P.
    Hallo, Maria
    [J]. 2019 SIXTH INTERNATIONAL CONFERENCE ON EDEMOCRACY & EGOVERNMENT (ICEDEG), 2019, : 224 - 229
12345