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
  • [1] A survey of data mining techniques
    Maojo, V
    Sanandrés, J
    [J]. MEDICAL DATA ANALYSIS, PROCEEDINGS, 2000, 1933 : 17 - 22
  • [2] Survey of Classification Techniques in Data Mining
    Phyu, Thair Nu
    [J]. IMECS 2009: INTERNATIONAL MULTI-CONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II, 2009, : 727 - 731
  • [3] Clustering techniques in data mining - A survey
    Pujari, AK
    Rajesh, K
    Reddy, DS
    [J]. IETE JOURNAL OF RESEARCH, 2001, 47 (1-2) : 19 - 28
  • [4] A Survey on Data Mining Techniques Applied to Electricity-Related Time Series Forecasting
    Maritnez-Alvarez, Francisco
    Troncoso, Alicia
    Asencio-Cortes, Gualberto
    Riquelme, Jose C.
    [J]. ENERGIES, 2015, 8 (11) : 13162 - 13193
  • [5] Data Mining Techniques Applied in the Financial Industry
    Huo, Liang
    Wang, Tao
    Yang, Liu
    [J]. 19th International Conference on Industrial Engineering and Engineering Management: Management System Innovation, 2013, : 1237 - 1243
  • [6] Data mining techniques applied to a manufacturing SME
    Packianather, Michael S.
    Davies, Alan
    Harraden, Sam
    Soman, Sajith
    White, John
    [J]. 10TH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING - CIRP ICME '16, 2017, 62 : 123 - 128
  • [7] Data mining techniques applied to medical information
    Lee, IN
    Liao, SC
    Embrechts, M
    [J]. MEDICAL INFORMATICS AND THE INTERNET IN MEDICINE, 2000, 25 (02): : 81 - 102
  • [8] A survey on data mining and pattern recognition techniques for soil data mining
    Ashok Kumar, D.
    Kannathasan, N.
    [J]. International Journal of Computer Science Issues, 2011, 8 (3 3-1): : 422 - 428
  • [9] A comprehensive review of Data Mining techniques in smart agriculture
    Ait Issad, Hassina
    Aoudjit, Rachida
    Rodrigues, Joel J.P.C.
    [J]. Engineering in Agriculture, Environment and Food, 2019, 12 (04) : 511 - 525
  • [10] Data Mining Techniques for IoT and Big Data -A Survey
    Shobanadevi, A.
    Maragatham, G.
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTELLIGENT SUSTAINABLE SYSTEMS (ICISS 2017), 2017, : 66 - 78
12345