• May 03, 2016 News! IJIET Vol. 5, No. 10 has been indexed by EI (Inspec).   [Click]
  • Jun 28, 2017 News!Vol. 7, No. 9 has been indexed by Crossref.
  • Jun 22, 2017 News!Vol. 7, No. 9 issue has been published online!   [Click]
General Information
    • ISSN: 2010-3689
    • Frequency: Bimonthly (2011-2014); Monthly (Since 2015)
    • DOI: 10.18178/IJIET
    • Editor-in-Chief: Prof. Dr. Steve Thatcher
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library, Google Scholar, Crossref and ProQuest
    • E-mail: ijiet@ejournal.net
Editor-in-chief
Prof. Dr. Steve Thatcher
University of South Australia, Australia
It is my honor to be the editor-in-chief of IJIET. The journal publishes good papers which focous on the advanced researches in the field of information and education technology. Hopefully, IJIET will become a recognized journal among the scholars in the filed of information and education technology.
IJIET 2017 Vol.7(2): 95-99 ISSN: 2010-3689
doi: 10.18178/ijiet.2017.7.2.848

New Approaches for Teaching Irrigation Scheduling — Improving Understanding through Modeling Applications

Pau Martí, Jalal Shiri, María Gasque, and Pablo González-Altozano
Abstract—This paper presents a teaching methodology for introducing specific modeling tools and their methods in the contents of the subject Irrigation Engineering, corresponding to the degree of Agricultural Engineering in Spanish universities. Modeling tools can be powerful educational resources allowing for a better understanding of the physical problems addressed in different subjects of scientific-technological careers. In particular, a Gene Expression Programming based approach is applied for estimating stem water potential, a key variable in irrigation scheduling, and, consequently, a crucial issue for Agricultural Engineers. This activity is scheduled in three practical sessions for the mentioned subject. Students learn a crucial topic in irrigation engineering and the fundamentals of a very robust modeling tool. The application of this methodology for solving a specific problem contributes to improving the understanding of the theoretical topic scheduled in the subject program. At the same time, students learn a new way of facing specific problems that might be encountered in their professional practice.

Index Terms—Modeling, GEP, FDR humidity probes, irrigation, agricultural engineering.

Pau Martí is with the Department de Biologia, Universitat de les Illes Balears, 07122, Spain (e-mail: pau.marti@uib.cat).
Jalal Shiri is with the Department of Water Engineering, University of Tabriz, Iran (e-mail: j_shiri@yahoo.com).
María Gasque is with the Department of Applied Physics, Universitat Politècnica de València, 46022, Spain (e-mail: mgasque@fis.upv.es).
Pablo González-Altozano is with the Department of Rural and Agrifood Engineering, Universitat Politècnica de València, 46022, Spain (e-mail: pgaltozano@agf.upv.es).

[PDF]

Cite: Pau Martí, Jalal Shiri, María Gasque, and Pablo González-Altozano, "New Approaches for Teaching Irrigation Scheduling — Improving Understanding through Modeling Applications," International Journal of Information and Education Technology vol. 7, no. 2, pp. 95-99, 2017.

Copyright © 2008-2017. International Journal of Information and Education Technology. All rights reserved.
E-mail: ijiet@ejournal.net