We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

On Fuzzy Logic based Model for Irrigation Controller using Penman-Monteith Equation

Published on November 2011 by V. S. Rahangadale, D. S. Choudhary
2nd National Conference on Information and Communication Technology
Foundation of Computer Science USA
NCICT - Number 4
November 2011
Authors: V. S. Rahangadale, D. S. Choudhary
b11b7677-6216-41b0-87de-5bd2c6e1f7de

V. S. Rahangadale, D. S. Choudhary . On Fuzzy Logic based Model for Irrigation Controller using Penman-Monteith Equation. 2nd National Conference on Information and Communication Technology. NCICT, 4 (November 2011), 22-25.

@article{
author = { V. S. Rahangadale, D. S. Choudhary },
title = { On Fuzzy Logic based Model for Irrigation Controller using Penman-Monteith Equation },
journal = { 2nd National Conference on Information and Communication Technology },
issue_date = { November 2011 },
volume = { NCICT },
number = { 4 },
month = { November },
year = { 2011 },
issn = 0975-8887,
pages = { 22-25 },
numpages = 4,
url = { /proceedings/ncict/number4/4300-ncict030/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 2nd National Conference on Information and Communication Technology
%A V. S. Rahangadale
%A D. S. Choudhary
%T On Fuzzy Logic based Model for Irrigation Controller using Penman-Monteith Equation
%J 2nd National Conference on Information and Communication Technology
%@ 0975-8887
%V NCICT
%N 4
%P 22-25
%D 2011
%I International Journal of Computer Applications
Abstract

In this paper design for fuzzy logic based irrigation controller using penman-Monteith equation is proposed. The irrigation requirement for any crop is the amount of water that must be applied to meet the crop's evapotranspiration (ET). The amount of (ET) includes water that is needed for both evaporation and transpiration. Penman Monteith equation is used to compute the actual evapotranspiration. Here difference between actual and desired evapotranspiration is one of the input parameter to fuzzy inference system. The longer the crop growth period the higher is the water requirement. Therefore month after sowing a crop is also an important parameter taken into consideration. As there is no mathematical model exists for both parameters, fuzzy logic technique is most suitable for modeling. This paper also discusses fuzzy inference system for fuzzy irrigation controller.

References
  1. Allen, R.G., Pereira, L.S., Raes, D., and Smith, M, “Crop evapotranspiration: Guidelines for computing crop requirements”, Food and Agriculture Organization (FAO), Rome, Italy, 1998.
  2. Ruiz, J. Gutiérrez, and J. Fernández, “A fuzzy controller with an optimized defuzzification algorithm,” IEEE Micro, pp. 1–10, Dec. 1995
  3. Burman, R. and L.O. Pochop, 2004. Evaporation evapotranspiration and climatic data. Elsevier, Amsterdam.
  4. Ioslovich, I. P. Gutman and I. Seginer, 2006. A non linear optimal greenhouse control problem with heating and ventilation. Optimal Control Applications and Methods, 17: 157-169.
  5. P. Javadi Kia, A. Tabatabaee Far, M. Omid, R. Alimardani and L. Naderloo, “Intelligent Control Based Fuzzy Logic for Automation of Greenhouse Irrigation System and Evaluation in Relation to Conventional Systems” World Applied Sciences Journal 6 (1): pp. 16-23, 2009.
  6. Harrison, L. P., “Fundamental‟s concepts and definitions relating to humidity”, In Wexler, A (Editor) Humidity and moisture, Vol. 3, Reinhold Publishing Co., New York, 1963.
  7. Murray, F. W., “On the computation of saturation vapor pressure”, J. Appl. Meteor. 6: 203-204, 1967.
  8. H. E. Gad and S. M. El-Gayar “Climate parameters used to evaluate the evapotranspiration in delta central zone of egypt” Fourteenth International Water Technology Conference, IWTC14 2010 Cairo, Egypt pp. 529-548.
  9. Fuzzy Logic Toolbox. The MathWorks, Inc. 1995
  10. Armin Zinali. Interpolative Fuzzy Inferences Using Least Square Principle. Transactions on Engineering, Computing and Technology V4 February 2005 ISSN 1305-5313. p.245.
  11. Helsinki University of Technology. Fuzzy Logic Control. http://www.control.hut.fi/Kurssit/AS74.3115/Material/Fuzzy_Control_Slides.pdf
  12. K.M. Passino and S. Yurkovich, Fuzzy Control. Addison-Wesley, 1998. p. 13.
Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy inference System Fuzzy Controller Penman Monteith equation irrigation controller