Bwambale, E., Abagale, F.K. & Anornu, G.K. (2022). Smart irrigation monitoring and control strategies for improving water use efficiency in precision agriculture: A review.
Agricultural Water Management,
260, 107324.
https://doi.org/10.1016 /j.agwat.2021.107324.
Pacheco, E.R.I.D., Pérez, E., Salvador, J.R. & Millán, P. (2024). Exploring the Capabilities of Adaptive Model Predictive Control in Irrigation Systems. In: 2024 European Control Conference (ECC), 418-423, IEEE. DOI:
10.23919/ ECC64448.2024.10591156.
Endo, A., Burnett, K., Orencio, P.M., Kumazawa, T., Wada, C.A., Ishii, A. & Tsurita, I. (2017). A review of the current state of research on the water–energy–food nexus.
Journal of Hydrology: Regional Studies,
11, 20–30.
https://doi.org/10.1016/j.ejrh. 2015.11.010
FAO. (2017). The future of food and agriculture – Trends and challenges. Food and Agriculture Organization of the United Nations.
FAO. (2021). The State of the World's Land and Water Resources for Food and Agriculture. Rome: Food and Agriculture Organization.
Fele, F., Maestre, J.M., Hashemy, S.M., Muñoz de la Peña, D. & Camacho, E.F. (2014). Coalitional model predictive control of an irrigation canal. Journal of Process Control, 24(4), 314–325.
Hassani, Y., Shahdany, S.M.H., Maestre, J.M., Zahraie, B., Ghorbani, M., Hennebery, S.R. & Kulshreshtha, S.N. (2019). An economic-operational framework for optimum agricultural water distribution in irrigation districts without water marketing. Agricultural Water Management, 221, 348–361.
Hosseini Jolfan, M., Hashemy Shahdany, S.M., Javadi, S. & Banihabib, M.E. (2018). Assessment of improving operational approaches to the surface water resources on groundwater extraction reduction within the irrigation districts; case study of Qazvin irrigation district. Iran-Water Resources Research, 14(4), 125-139. (In Persian)
Hosseini Jolfan, M., Hashemy Shahdany, S.M., Javadi, S., Mallakpour, I. & Neshat, A. (2020). Effects of canal automation on reducing groundwater extraction within irrigation districts: Case study of Qazvin irrigation district. Irrigation and Drainage, 69(1), 11-24.
Howells, M., Hermann, S., Welsch, M., Bazilian, M., Segerström, R., Alfstad, T. & Rogner, H. (2013). Integrated analysis of climate change, land-use, energy and water strategies. Nature Climate Change, 3(7), 621–626.
International Energy Agency (IEA). (2022). CO₂ Emissions from Fuel Combustion Highlights. OECD/IEA, Paris.
Ebrahimipak, N., Sedaghat, A. & Tafteh, A. (2026). Spatial analysis of water requirements and water-use efficiency in wheat cultivation across Iran using data from the water requirement system.
Irrigation and Drainage, 1-19.
https://doi.org/10.1002/ird.70138.
Jolfan, M.H., Shahdany, S.M.H., Javadi, S., Milan, S.G., Neshat, A., Berndtsson, R. & Tork, H. (2023). Modernization in agricultural water distribution system for aquifer storage and recovery–A case study.
Agricultural Water Management,
282, 108270.
https://doi.org/10.1016/j.agwat.2023.108 270.
Jovanovic, N., Pereira, L.S., Paredes, P., Pôças, I., Cantore, V. & Todorovic, M. (2020). A review of strategies, methods and technologies to reduce non-beneficial consumptive water use on farms considering the FAO56 methods.
Agricultural Water Management,
239, 106267.
https://doi.org/10.1016/j.agwat.2020.106267
Kamrani, K., Roozbahani, A. & Shahdany, S. M.H. (2020). Using Bayesian networks to evaluate how agricultural water distribution systems handle the water-food-energy nexus. Agricultural Water Management, 239, 106265. https://doi.org /10.1016/j.agwat.2020.106265.
Lahjouj, A., Hmaidi, A.E., Essahlaoui, A., Alam, M.J.B., Siddiquee, M.S. & Bouhafa, K. (2022). Groundwater vulnerability assessment through a modified DRASTI-LU framework: case study of Saiss Basin in Morocco. Earth Systems and Environment, 6, 885-902.
Liu, J., Yang, H., Cudennec, C., Gain, A.K., Hoff, H., Lawford, R. & Qi, J. (2017). Challenges in operationalizing the water–energy–food nexus. Hydrological Sciences Journal, 62(11), 1714–1720.
Mohammadi, A., Parvaresh Rizi, A. & Abbasi, N. (2017). Evaluation of Hydraulic Performance of Regulators and Distribution Structures in Varamin Irrigation Network. Journal of Hydraulics, 12(3), 1-12. (In Persian)
Mirzaei, A., Saghafian, B., Mirchi, A. & Madani, K. (2019). The groundwater‒energy‒food nexus in Iran’s agricultural sector: implications for water security. Water, 11(9), 1835. https://doi.org /10.3390/w11091835
Molden, D.J. & Gates, T.K. (1990). Performance measures for evaluation of irrigation-water-delivery systems. Journal of Irrigation and Drainage Engineering, 116(6), 804–823.
Ranjbar, R., Martin, J.G., Maestre, J.M., Etienne, L., Duviella, E. & Camacho, E.F. (2025). Stochastic model predictive control of an irrigation canal with integrated performance-driven path planning of a measurement robot. Journal of Hydroinformatics, 27(4), 740–754.
Ringler, C., Bhaduri, A. & Lawford, R. (2013). The nexus across water, energy, land and food (WELF).
http://cdm15738.contentdm.oclc.org/cdm/ref/collection/p15738coll5/id/4188.
Rodriguez, L.P., Maestre, J.M., Camacho, E.F., & Sánchez, M.C. (2020). Decentralized ellipsoidal state estimation for linear model predictive control of an irrigation canal. Journal of Hydroinformatics, 22(3), 593-605.
Shahdany, S.H., Taghvaeian, S., Maestre, J.M., & Firoozfar, A.R. (2019). Developing a centralized automatic control system to increase flexibility of water delivery within predictable and unpredictable irrigation water demands.
Computers and Electronics in Agriculture,
163, 104862.
https://doi.org/10.1016/j.compag.2019. 104862.
Shahsavandi, M., Yazdi, J., jalili ghazizadeh, M. & Rashidi Mehrabadi, A.(2024). Hydraulic Model Calibration of a Laboratory Water Distribution Network Using Hydraulic and Water Quality Measurements. Journal of Hydraulics, 19(3), 113-125. (In Persian)
Van Overloop, P.-J. (2006). Model predictive control on open water systems. IOS Press.
van Overloop, P.J., Schuurmans, J., Brouwer, R. & Burt, C.M. (2005). Multiple-model optimization of proportional integral controllers on canals. Journal of Irrigation and Drainage Engineering, 131(2), 190–196.
van Overloop, P., Miltenburg, I., Clemmens, A. & Strand, R. (2008). Identification of pool characteristics of irrigation canals. In: World Environmental and Water Resources Congress 2008: Ahupua’A. Honolulu, Hawaii, USA.
Xu, Z., Chen, X., Liu, J., Zhang, Y., Chau, S., Bhattarai, N. & Li, Y. (2020). Impacts of irrigated agriculture on food–energy–water–CO2 nexus across metacoupled systems.
Nature Communications,
11(1), 5837.
https://doi.org/ 10.1038/s41467-020-19520-3.
Zhu, Z., Guan, G. & Wang, K. (2023). Distributed model predictive control based on the alternating direction method of multipliers for branching open canal irrigation systems.
Agricultural Water Management,
285, 108372.
https://doi.org/ 10.1016/j.agwat.2023.108372.
