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WISCHE: A DSS for water irrigation scheduling

Author

Listed:
  • Almiñana, M.
  • Escudero, L.F.
  • Landete, M.
  • Monge, J.F.
  • Rabasa, A.
  • Sánchez-Soriano, J.

Abstract

In this paper we present the models and the algorithms which are being used in a decision support system (DSS) to determine water irrigation scheduling. The DSS provides dynamic scheduling of the daily irrigation for a given land area by taking into account the irrigation network topology, the water volume technical conditions and the logistical operations. The system has been validated by the Agriculture Community of Elche (Spain) and annexed to their Supervisory Control and Data Acquisition system (SCADA). We present two heuristic approaches to solve the mixed 0-1 separable nonlinear program for irrigation scheduling implemented with free software.

Suggested Citation

  • Almiñana, M. & Escudero, L.F. & Landete, M. & Monge, J.F. & Rabasa, A. & Sánchez-Soriano, J., 2010. "WISCHE: A DSS for water irrigation scheduling," Omega, Elsevier, vol. 38(6), pages 492-500, December.
  • Handle: RePEc:eee:jomega:v:38:y:2010:i:6:p:492-500
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    References listed on IDEAS

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    Cited by:

    1. Fernández-Pacheco, D.G. & Ferrández-Villena, M. & Molina-Martínez, J.M. & Ruiz-Canales, A., 2015. "Performance indicators to assess the implementation of automation in water user associations: A case study in southeast Spain," Agricultural Water Management, Elsevier, vol. 151(C), pages 87-92.
    2. Shabtay, Dvir & Mosheiov, Gur & Oron, Daniel, 2022. "Single machine scheduling with common assignable due date/due window to minimize total weighted early and late work," European Journal of Operational Research, Elsevier, vol. 303(1), pages 66-77.
    3. Mosheiov, Gur & Oron, Daniel & Shabtay, Dvir, 2021. "Minimizing total late work on a single machine with generalized due-dates," European Journal of Operational Research, Elsevier, vol. 293(3), pages 837-846.
    4. García-González, J.F. & Moreno, M.A. & Molina, J.M. & Madueño, A. & Ruiz-Canales, A., 2015. "Use of software to model the water and energy use of an irrigation pipe network on a golf course," Agricultural Water Management, Elsevier, vol. 151(C), pages 37-42.
    5. Sterna, Malgorzata, 2011. "A survey of scheduling problems with late work criteria," Omega, Elsevier, vol. 39(2), pages 120-129, April.
    6. Rubing Chen & Jinjiang Yuan & C.T. Ng & T.C.E. Cheng, 2019. "Single‐machine scheduling with deadlines to minimize the total weighted late work," Naval Research Logistics (NRL), John Wiley & Sons, vol. 66(7), pages 582-595, October.
    7. Patel, Jignesh & Bhatt, Chetan, 2015. "A CommonKADS Model Framework for Web Based Agricultural Decision Support System," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 5(4), pages 1-8, January.
    8. Wang, S. & Huang, G.H., 2014. "An integrated approach for water resources decision making under interactive and compound uncertainties," Omega, Elsevier, vol. 44(C), pages 32-40.
    9. Zhou, Yang & Huang, Guo H. & Yang, Boting, 2013. "Water resources management under multi-parameter interactions: A factorial multi-stage stochastic programming approach," Omega, Elsevier, vol. 41(3), pages 559-573.

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