A fuzzy-based automation level analysis in irrigation equipment

被引：0
|
作者：
Davoudi, Mohsen [1 ]
Menhaj, Mohammad Bagher [1 ]
Davoudi, Mehdi [1 ]
机构：
[1] AIU Teheran South Univ, Dept Elect Engn, Tehran, Iran
来源：
COMPUTATIONAL INTELLIGENCE, THEORY AND APPLICATION | 2006年
关键词：
fuzzy control; irrigation; automation level;
D O I：
10.1007/3-540-34783-6_76
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In underdeveloped countries because of old irrigation/agricultural equipment, there are some problems with automation. In some cases, automation is not efficient. In this paper, we introduce an idea to make automation plausible for an old equipment environment using fuzzy logic based analysis. The proposed fuzzy analyzer uses data collected from farm, climate, energy, etc to determine which equipment has enough reasons to be automated. The analyzer helps us decide where and when to switch from the mechanization level to the automation level.
引用
收藏
页码：777 / +
页数：2
相关论文
共 50 条
  • [1] Implementation of a fuzzy-based level control using SCADA
    Aydogmus, Zafer
    EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (03) : 6593 - 6597
  • [2] Design of a Fuzzy-based Automated Organic Irrigation System for Smart Farm
    Dela Cruz, John R.
    Magsumbol, Jo-Ann V.
    Dadios, Elmer P.
    Baldovino, Renann G.
    Culibrina, Francisco B.
    Lim, Laurence A. Gan
    2017 IEEE 9TH INTERNATIONAL CONFERENCE ON HUMANOID, NANOTECHNOLOGY, INFORMATION TECHNOLOGY, COMMUNICATION AND CONTROL, ENVIRONMENT AND MANAGEMENT (IEEE HNICEM), 2017,
  • [3] Fuzzy-based Methodology for Evaluation of Energy Efficiency in Rice Irrigation Systems
    Uberti, Vinicius Andre
    Abaide, Alzenira da Rosa
    Pfitscher, Luciano Lopes
    Evaldt, Maicon Coelho
    Prade, Lucio Rene
    Figueiredo, Rodrigo Marques
    2017 52ND INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE (UPEC), 2017,
  • [4] An algorithm for fuzzy-based Sentence-level Document Clustering for Micro-level Contradiction Analysis
    Mehta, R. Vasanth Kumar
    Sankarasubramaniam, B.
    Rajalakshmi, S.
    PROCEEDINGS OF THE 2012 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI'12), 2012, : 102 - 105
  • [5] Fuzzy-based DCKN: Fuzzy-based deep convolutional kronecker network for semantic analysis of summarized video
    Kaur, Preet Chandan
    Ragha, Leena
    EDUCATION AND INFORMATION TECHNOLOGIES, 2025,
  • [6] A fuzzy-based methodology for the analysis of diabetic neuropathy
    Di Lascio, L
    Gisolfi, A
    Albunia, A
    Galardi, G
    Meschi, F
    FUZZY SETS AND SYSTEMS, 2002, 129 (02) : 203 - 228
  • [7] Structural analysis with fuzzy-based load uncertainty
    Mullen, RL
    Muhanna, RL
    PROBABILISTIC MECHANICS & STRUCTURAL RELIABILITY: PROCEEDINGS OF THE SEVENTH SPECIALTY CONFERENCE, 1996, : 310 - 313
  • [8] Fuzzy-Based Analysis of Information Security Situation
    Srivastava, Ashish
    Shrivastava, Pallavi
    EMERGING TRENDS IN EXPERT APPLICATIONS AND SECURITY, 2019, 841 : 31 - 39
  • [9] A FUZZY-BASED BUILDING AUTOMATION CONTROL SYSTEM Optimizing the level of energy performance and comfort in an office space by taking advantage of building automation systems and solar energy
    Martirano, Luigi
    Parise, Giuseppe
    Parise, Luigi
    Manganelli, Matteo
    IEEE INDUSTRY APPLICATIONS MAGAZINE, 2016, 22 (02) : 10 - 17
  • [10] Automation and control of a pressurized collective irrigation system based on fuzzy logic
    Mendonca, Kamilla Henrique
    Gomes, Heber Pimentel
    Mauricio Villanueva, Juan Moises
    WATER PRACTICE AND TECHNOLOGY, 2022, 17 (08) : 1635 - 1651
12345