Author:
Cetin Meric,Beyhan Selami
Abstract
Modeling and control of irrigation systems has importance for the yield of the crops and especially, saving the water sources has prominent importance for the world. In this paper, recent modeling and control methods for the irrigation systems are surveyed for the future applications. Even though a mathematical model is constructed for the amount of water in soil, there are too many unpredictable disturbances on the irrigation systems so that the mathematical model cannot be exact. Therefore, the accuracy of the literature control methods is less than expected results. As a solution, the unknown model-based control methods and also accurate prediction methods are going to be promising approaches for irrigation systems in future.
Reference25 articles.
1. Allen, Richard G., et al. "Crop evapotranspiration-Guidelines for computing crop waterrequirements-FAO Irrigation and drainage paper 56." Fao, Rome 300.9 (1998): D05109.
2. Ooi, Su Ki, et al. "A systems engineering approach to viticulture on-farm irrigation." IFACProceedings Volumes 41.2 (2008): 9569-9574.
3. Saleem, Syed Khusro, et al. "Model predictive control for real-time irrigation scheduling."IFAC Proceedings Volumes 46.18 (2013): 299-304.
4. Delgoda, Dilini, et al. "Irrigation control based on model predictive control (MPC):Formulation of theory and validation using weather forecast data and AQUACROP model."Environmental Modelling & Software 78 (2016): 40-53.
5. Shang, C., Chen, W. H., Stroock, A. D., & You, F. Robust Model Predictive Control ofIrrigation Systems With Active Uncertainty Learning and Data Analytics. IEEETransactions on Control Systems Technology, 2019.
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