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A flexible decision support system for irrigation scheduling in an irrigation district in China

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  • Yang, Gaiqiang
  • Liu, Lei
  • Guo, Ping
  • Li, Mo

Abstract

Decision support systems for agricultural irrigation scheduling are generally designed and developed for specific agricultural regions or irrigation districts. Flexible irrigation scheduling decision support tools which are applicable to various irrigation districts are desired for sound agricultural irrigation planning and management. This study attempts to develop a flexible irrigation scheduling decision support system (FIS-DSS) which could be easily customized and adapted to different irrigation districts and cases, and thus repeated software development is not needed. The developed FIS-DSS includes a user interface, a knowledge base, and an inference engine. As the core module of the FIS-DSS, the inference engine uses specific computer programs to maneuver the knowledge base, and the knowledge base was used to store and provide data, knowledge, information and rules for the inference engine. As the core of the FIS-DSS, a fuzzy interval programming model with multiple objectives and constrains was developed with advantages in data processing, model flexibility, alternative solving algorithm and friendly result display. The system users can obtain suitable water allocation schemes for each crop on a temporal and spatial fashion by modifying the model inputs and scenarios through the software interface. A case study was introduced to demonstrate the functions and operations of the FIS-DSS, and useful information has been generated to provide a practical guidance for agricultural water allocation and utilization.

Suggested Citation

  • Yang, Gaiqiang & Liu, Lei & Guo, Ping & Li, Mo, 2017. "A flexible decision support system for irrigation scheduling in an irrigation district in China," Agricultural Water Management, Elsevier, vol. 179(C), pages 378-389.
    • Handle: RePEc:eee:agiwat:v:179:y:2017:i:c:p:378-389
    DOI: 10.1016/j.agwat.2016.07.019
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    1. Wang, Juite & Hwang, W.-L., 2007. "A fuzzy set approach for R&D portfolio selection using a real options valuation model," Omega, Elsevier, vol. 35(3), pages 247-257, June.
    2. Yang, Gaiqiang & Guo, Ping & Huo, Lijuan & Ren, Chongfeng, 2015. "Optimization of the irrigation water resources for Shijin irrigation district in north China," Agricultural Water Management, Elsevier, vol. 158(C), pages 82-98.
    3. Leenhardt, D. & Trouvat, J. -L. & Gonzales, G. & Perarnaud, V. & Prats, S. & Bergez, J. -E., 2004. "Estimating irrigation demand for water management on a regional scale: II. Validation of ADEAUMIS," Agricultural Water Management, Elsevier, vol. 68(3), pages 233-250, August.
    4. Pedras, C.M.G. & Pereira, L.S. & Gonalves, J.M., 2009. "MIRRIG: A decision support system for design and evaluation of microirrigation systems," Agricultural Water Management, Elsevier, vol. 96(4), pages 691-701, April.
    5. Tanure, Soraya & Nabinger, Carlos & Becker, João Luiz, 2013. "Bioeconomic model of decision support system for farm management. Part I: Systemic conceptual modeling," Agricultural Systems, Elsevier, vol. 115(C), pages 104-116.
    6. M. Li & P. Guo & G. Yang & S. Fang, 2014. "IB-ICCMSP: An Integrated Irrigation Water Optimal Allocation and Planning Model Based on Inventory Theory under Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(1), pages 241-260, January.
    7. Qin, X.S. & Huang, G.H. & Zeng, G.M. & Chakma, A. & Huang, Y.F., 2007. "An interval-parameter fuzzy nonlinear optimization model for stream water quality management under uncertainty," European Journal of Operational Research, Elsevier, vol. 180(3), pages 1331-1357, August.
    8. Lu, H.W. & Huang, G.H. & Zhang, Y.M. & He, L., 2012. "Strategic agricultural land-use planning in response to water-supplier variation in a China’s rural region," Agricultural Systems, Elsevier, vol. 108(C), pages 19-28.
    9. Pedras, C.M.G. & Pereira, L.S., 2009. "Multicriteria analysis for design of microirrigation systems. Application and sensitivity analysis," Agricultural Water Management, Elsevier, vol. 96(4), pages 702-710, April.
    10. Leenhardt, D. & Trouvat, J. -L. & Gonzales, G. & Perarnaud, V. & Prats, S. & Bergez, J. -E., 2004. "Estimating irrigation demand for water management on a regional scale: I. ADEAUMIS, a simulation platform based on bio-decisional modelling and spatial information," Agricultural Water Management, Elsevier, vol. 68(3), pages 207-232, August.
    11. Galelli, S. & Gandolfi, C. & Soncini-Sessa, R. & Agostani, D., 2010. "Building a metamodel of an irrigation district distributed-parameter model," Agricultural Water Management, Elsevier, vol. 97(2), pages 187-200, February.
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    4. Li, Hongjun & Li, Jiazhen & Shen, Yanjun & Zhang, Xiying & Lei, Yuping, 2018. "Web-based irrigation decision support system with limited inputs for farmers," Agricultural Water Management, Elsevier, vol. 210(C), pages 279-285.

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