A management analysis tool for emancipated and public irrigation areas using neural networks

Mota Gonçalves Fabricio, Da Frota Ribeiro Renato Silvio, Tavora Costa Raimundo Nonato, Burte Julien. 2015. A management analysis tool for emancipated and public irrigation areas using neural networks. Water Resources Management, 29 (7) : pp. 2393-2406.

Journal article ; Article de revue à facteur d'impact
[img] Published version - Anglais
Access restricted to CIRAD agents
Use under authorization by the author or CIRAD.

Télécharger (212kB)

Quartile : Q1, Sujet : ENGINEERING, CIVIL / Quartile : Q1, Sujet : WATER RESOURCES

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. (Résumé d'auteur)

Mots-clés Agrovoc : Irrigation, Gestion des eaux, secteur privé, Modèle de simulation, Méthode statistique, Étude de faisabilité, Transfert de technologie, Périmètre irrigué, Analyse multivariée

Mots-clés géographiques Agrovoc : Monde

Classification Agris : F06 - Irrigation
U10 - Computer science, mathematics and statistics
E14 - Development economics and policies

Champ stratégique Cirad : Axe 1 (2014-2018) - Agriculture écologiquement intensive

Auteurs et affiliations

  • Mota Gonçalves Fabricio, Universidade Federal do Ceara (BRA)
  • Da Frota Ribeiro Renato Silvio, Universidade Federal do Ceara (BRA)
  • Tavora Costa Raimundo Nonato, Universidade Federal do Ceara (BRA)
  • Burte Julien, CIRAD-ES-UMR G-EAU (TUN) ORCID: 0000-0001-7912-5137

Source : Cirad - Agritrop (

View Item (staff only) View Item (staff only)

[ Page générée et mise en cache le 2021-04-29 ]