IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v151y2015icp87-92.html
   My bibliography  Save this article

Performance indicators to assess the implementation of automation in water user associations: A case study in southeast Spain

Author

Listed:
  • Fernández-Pacheco, D.G.
  • Ferrández-Villena, M.
  • Molina-Martínez, J.M.
  • Ruiz-Canales, A.

Abstract

Water and energy in the agricultural sector must be used efficiently to obtain sustainable agriculture, which also leads to economical savings. This also has a positive influence on the conservation of fossil resources and the reduction of contamination. Automation in irrigation systems permits the control of water and energy resources. Therefore, several parameters related to water and energy efficiency, both in the pump station and in the collective irrigation network, can be controlled. In this study, several performance indicators are proposed to assess the implementation of automation in water user associations. Both the indicators and the methodology used for data gathering are detailed in the study, and the results of a case study in southeast Spain are presented. The results demonstrate that automation is a low-cost investment (1.24–6.72% of the total costs) compared to the large benefits and advantages (2.05–8.21% energy saving and 0.71–6.46% water saving). Moreover, the amortization periods are very short and are less than 1.5 years in the majority of cases.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:agiwat:v:151:y:2015:i:c:p:87-92
    DOI: 10.1016/j.agwat.2014.11.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377414003667
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2014.11.005?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hedley, C.B. & Yule, I.J., 2009. "A method for spatial prediction of daily soil water status for precise irrigation scheduling," Agricultural Water Management, Elsevier, vol. 96(12), pages 1737-1745, December.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Garrigós, J. & Molina, J.M. & Alarcón, M. & Chazarra, J. & Ruiz-Canales, A. & Martínez, J.J., 2017. "Platform for the management of hydraulic chambers based on mobile devices and Bluetooth Low-Energy motes," Agricultural Water Management, Elsevier, vol. 183(C), pages 169-176.
    2. Melián-Navarro, A. & Molina-Martínez, J.M. & Rodríguez-Díaz, J.A. & Ruiz-Canales, A., 2017. "Performance indicators to assess the implementation of automation in golf courses located in Southeast Spain," Agricultural Water Management, Elsevier, vol. 183(C), pages 35-40.
    3. Cáceres, Rafaela & Pol, Enric & Narváez, Lola & Puerta, Anna & Marfà, Oriol, 2017. "Web app for real-time monitoring of the performance of constructed wetlands treating horticultural leachates," Agricultural Water Management, Elsevier, vol. 183(C), pages 177-185.
    4. Loureiro, Dália & Beceiro, Paula & Moreira, Madalena & Arranja, Carina & Cordeiro, Diana & Alegre, Helena, 2023. "A comprehensive performance assessment system for diagnosis and decision-support to improve water and energy efficiency and its demonstration in Portuguese collective irrigation systems," Agricultural Water Management, Elsevier, vol. 275(C).
    5. Balasubramanya, Soumya, 2019. "Effects of training duration and the role of gender on farm participation in water user associations in Southern Tajikistan: Implications for irrigation management," Agricultural Water Management, Elsevier, vol. 216(C), pages 1-11.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. El-Naggar, A.G. & Hedley, C.B. & Horne, D. & Roudier, P. & Clothier, B.E., 2020. "Soil sensing technology improves application of irrigation water," Agricultural Water Management, Elsevier, vol. 228(C).
    2. 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.
    3. López, Juan A. & Navarro, H. & Soto, F. & Pavón, N. & Suardíaz, J. & Torres, R., 2015. "GAIA2: A multifunctional wireless device for enhancing crop management," Agricultural Water Management, Elsevier, vol. 151(C), pages 75-86.
    4. Sterna, Malgorzata, 2011. "A survey of scheduling problems with late work criteria," Omega, Elsevier, vol. 39(2), pages 120-129, April.
    5. Beeson Jr., R.C., 2011. "Weighing lysimeter systems for quantifying water use and studies of controlled water stress for crops grown in low bulk density substrates," Agricultural Water Management, Elsevier, vol. 98(6), pages 967-976, April.
    6. 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.
    7. 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.
    8. 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.
    9. Bhatti, Sandeep & Heeren, Derek M. & Barker, J. Burdette & Neale, Christopher M.U. & Woldt, Wayne E. & Maguire, Mitchell S. & Rudnick, Daran R., 2020. "Site-specific irrigation management in a sub-humid climate using a spatial evapotranspiration model with satellite and airborne imagery," Agricultural Water Management, Elsevier, vol. 230(C).
    10. Hunsaker, D.J. & French, A.N. & Waller, P.M. & Bautista, E. & Thorp, K.R. & Bronson, K.F. & Andrade-Sanchez, P., 2015. "Comparison of traditional and ET-based irrigation scheduling of surface-irrigated cotton in the arid southwestern USA," Agricultural Water Management, Elsevier, vol. 159(C), pages 209-224.
    11. Olutobi Adeyemi & Ivan Grove & Sven Peets & Tomas Norton, 2017. "Advanced Monitoring and Management Systems for Improving Sustainability in Precision Irrigation," Sustainability, MDPI, vol. 9(3), pages 1-29, February.
    12. 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.
    13. 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.
    14. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:151:y:2015:i:c:p:87-92. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.