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A Management Analysis Tool for Emancipated and Public Irrigation Areas Using Neural Networks

Author

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  • Fabrício Gonçalves
  • Renato Ribeiro
  • Raimundo Costa
  • Julien Burte

Abstract

The management transfer of irrigation districts from the public to the private sector became a broad strategy throughout the world. Although the extent to which the process is being implemented, there is little information available on the results of these transfer programs. In addition, there is no established procedure to analyze economic feasibility and general performance of the irrigation districts. In this context, the aim of this research was to develop a model to evaluate the performance of self-managed irrigated areas transferred from public sector to private irrigator associations. A list of performance indicators proposed by the Brazilian Federal Court of Accounts to monitor the public perimeters and pre-classification information from two public companies, San Francisco and Parnaiba Valleys Development Company (CODEVASF) and National Department of Works Against Droughts (DNOCS) were used in this research. A statistical multivariate model with discriminant analysis (MDA) was performed to identify the indicators importance in order to discriminate the current level of the irrigation areas. The data resulting from multivariate discriminant analysis was used to create an artificial neural network (ANN) that classifies the irrigated areas related to management. It was observed that the indicator Generated Revenue per Hectare (GRH) was the most important in the discriminating process regarding self-management. The neural network created from the values of the performance function resulted from multivariate discriminant analysis showed be capable of assessing the performance of Irrigated Perimeters over time and also be adequate as a tool for resource allocation and evaluation of self-managed irrigated areas. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Fabrício Gonçalves & Renato Ribeiro & Raimundo Costa & Julien Burte, 2015. "A Management Analysis Tool for Emancipated and Public Irrigation Areas Using Neural Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(7), pages 2393-2406, May.
    • Handle: RePEc:spr:waterr:v:29:y:2015:i:7:p:2393-2406
    DOI: 10.1007/s11269-015-0948-4
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    References listed on IDEAS

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    1. Meinzen-Dick, Ruth & Raju, K. V. & Gulati, Ashok, 2002. "What Affects Organization and Collective Action for Managing Resources? Evidence from Canal Irrigation Systems in India," World Development, Elsevier, vol. 30(4), pages 649-666, April.
    2. Md Ali & K. Klein, 2014. "Water Use Efficiency and Productivity of the Irrigation Districts in Southern Alberta," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 2751-2766, August.
    3. Shah, Tushaar & van Koppen, Barbara & Merrey, Douglas J. & de Lange, Marna & Samad, Madar, 2002. "Institutional alternatives in African smallholder irrigation: Lessons from international experience with irrigation management transfer," IWMI Research Reports 44563, International Water Management Institute.
    4. Uysal, Özlem Karahan & AtIs, Ela, 2010. "Assessing the performance of participatory irrigation management over time: A case study from Turkey," Agricultural Water Management, Elsevier, vol. 97(7), pages 1017-1025, July.
    5. Tushaar Shah & Babara Van Koppen & Douglas Murrey & Marna de Lange & Madar Samad, 2002. "Institutional Alternatives in African Smallholder Irrigation: Lessons from International Experience with Irrigation Management Transfer," IWMI Research Reports H 30202, International Water Management Institute.
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    1. Mateos, Luciano & dos Santos Almeida, Alexsandro Claudio & Frizzone, José Antônio & Lima, Sílvio Carlos Ribeiro Vieira, 2018. "Performance assessment of smallholder irrigation based on an energy-water-yield nexus approach," Agricultural Water Management, Elsevier, vol. 206(C), pages 176-186.
    2. Benavides, Juan & Hernández-Plaza, Eva & Mateos, Luciano & Fereres, Elías, 2021. "A global analysis of irrigation scheme water supplies in relation to requirements," Agricultural Water Management, Elsevier, vol. 243(C).
    3. dos Santos Almeida, Alexsandro Claudio & Mamédio, Mário Roberto & Goelzer, Ademar & Rodrigues, Lucas Araujo & Mateos, Luciano, 2023. "Shared centre pivot. An experience of smallholder irrigation in Midwest Brazil," Agricultural Water Management, Elsevier, vol. 275(C).
    4. Araujo, Danielle F. & Costa, Raimundo N. & Mateos, Luciano, 2019. "Pros and cons of furrow irrigation on smallholdings in northeast Brazil," Agricultural Water Management, Elsevier, vol. 221(C), pages 25-33.
    5. Duarte, A.C. & Mateos, L., 2022. "How changes in cropping intensity affect water usage in an irrigated Mediterranean catchment," Agricultural Water Management, Elsevier, vol. 260(C).

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