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A practical surface irrigation design based on fuzzy logic and meta-heuristic algorithms

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  • Pazouki, Ehsan

Abstract

Nowadays improving the method of design in agriculture using new technologies is a common issue. Irrigation system plays an important role in productivity and some new methods are proposed in this domain. As most of the proposed models are more focused on performance criteria, their obtained design have problems in terms of practicality and feasibility. This paper presents a simulation-optimization model for designing a surface irrigation system. The main innovation of the proposed model is its special focus on the feasibility in real issues. It gives an optimal and feasible surface irrigation system by fuzzy expert systems and meta-heuristic optimization algorithms. Five fuzzy expert systems analyze the feasibility level of the obtained irrigation system using inference rules which are proposed by expert farmers, and 10 meta-heuristic optimization algorithms optimize the irrigation system based on the fuzzy expert systems outputs. Experiments were performed to evaluate the proposed model. Parameters of 14 fields with different irrigation systems were used in the experiments. The experimental results were re-evaluated by two well-known simulator software programs as SIRMOD and WinSRFR, the obtained results validate the performance of the simulation part of the model. The results of the experiments were compared with the results of three other simulation-optimization models. It was found that the designs presented by the proposed model provide more favorable results in terms of quality, practicality and labor. The designs provided by the proposed model on average reduce labor by 10%, increase practicality by 9% and improve performance by 13%.

Suggested Citation

  • Pazouki, Ehsan, 2021. "A practical surface irrigation design based on fuzzy logic and meta-heuristic algorithms," Agricultural Water Management, Elsevier, vol. 256(C).
    • Handle: RePEc:eee:agiwat:v:256:y:2021:i:c:s0378377421003346
    DOI: 10.1016/j.agwat.2021.107069
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    References listed on IDEAS

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    1. González Perea, R. & Camacho Poyato, E. & Montesinos, P. & Rodríguez Díaz, J.A., 2018. "Prediction of applied irrigation depths at farm level using artificial intelligence techniques," Agricultural Water Management, Elsevier, vol. 206(C), pages 229-240.
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    4. Pazouki, Ehsan, 2021. "A practical surface irrigation system design based on volume balance model and multi-objective evolutionary optimization algorithms," Agricultural Water Management, Elsevier, vol. 248(C).
    5. Akbari, Mahmood & Gheysari, Mahdi & Mostafazadeh-Fard, Behrouz & Shayannejad, Mohammad, 2018. "Surface irrigation simulation-optimization model based on meta-heuristic algorithms," Agricultural Water Management, Elsevier, vol. 201(C), pages 46-57.
    6. Bautista, E. & Clemmens, A.J. & Strelkoff, T.S. & Schlegel, J., 2009. "Modern analysis of surface irrigation systems with WinSRFR," Agricultural Water Management, Elsevier, vol. 96(7), pages 1146-1154, July.
    7. Salahou, Mohamed Khaled & Jiao, Xiyun & Lü, Haishen, 2018. "Border irrigation performance with distance-based cut-off," Agricultural Water Management, Elsevier, vol. 201(C), pages 27-37.
    8. Mazarei, Reza & Mohammadi, Amir Soltani & Naseri, Abd Ali & Ebrahimian, Hamed & Izadpanah, Zahra, 2020. "Optimization of furrow irrigation performance of sugarcane fields based on inflow and geometric parameters using WinSRFR in Southwest of Iran," Agricultural Water Management, Elsevier, vol. 228(C).
    9. Bautista, E. & Clemmens, A.J. & Strelkoff, T.S. & Niblack, M., 2009. "Analysis of surface irrigation systems with WinSRFR--Example application," Agricultural Water Management, Elsevier, vol. 96(7), pages 1162-1169, July.
    10. Fadul, E. & Masih, I. & De Fraiture, C. & Suryadi, F.X., 2020. "Irrigation performance under alternative field designs in a spate irrigation system with large field dimensions," Agricultural Water Management, Elsevier, vol. 231(C).
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    1. Pazouki, Ehsan, 2023. "A smart surface irrigation design based on the topographical and geometrical shape characteristics of the land," Agricultural Water Management, Elsevier, vol. 275(C).

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