- Allen, R.G., Pereira, L.S., Raes, D., & Smith, M. (1998). Crop evapotranspiration. Guidelines for computing crop water requirement. FAO Irrig. Drain. Paper No. 56. FAO, Rome, Italy, 300 pp.
- Arefinia, A., & Ahmadaali, K. (2021). Multi-objective optimization of cropping pattern by emphasizing on water footprint in the eastern provinces of Iran. Iranian Journal of Irrigation & Drainage, 15(1), 188-198. (In Persian with English abstract). https://dorl.net/dor/20.1001.1.20087942.1400.15.1.16.6
- Avazyar, M., & Ahmadpour Borazjani, M., & Ziaee, S. (2018). Determine optimal crop pattern with an emphasis on increasing the irrigation efficiency in lands of Mollasadra Dam in Fars province. Water Engineering, 11(36), 21-32. (In Persian with English abstract). https://dorl.net/dor/20.1001.1.20086377.1397.11.36.3.4
- Azari, M., Ansari, H., Farid Hosseni, A., & Amirnejad, H. (2012). Determining the pattern of optimal crop production using linear programming, a case study in the east of Mazandaran province. The first national conference on sustainable agriculture and natural resources, Tehran. (In Persian)
- El Gafy, I., Grigg, N., & Reagan, W. (2017). Water-food-energy nexus index to maximize the economic water and energy productivity in an optimal cropping pattern. Water International, 42(4), 495-503. https://doi.org/10.1080/02508060.2017.1309630
- Goodarzi, M. (2022). Prioritization of Arable Crops Using Multiple Criteria and Analytical Hierarchy Process (AHP) Method, Case Study: Markazi Province - Farahan Plain. Iranian Journal of Irrigation & Drainage, 16(3), 485-498. (In Persian with English abstract). https://dorl.net/dor/20.1001.1.20087942.1401.16.3.3.4
- Hasan Panah, D., Nikshad, Kh., Sui, A.,& Karbalai Khayavi, H. (2014). Program for optimizing the cultivation pattern of crops and garden crops in Ardabil province. Technical Report, No. 38, Agricultural Research, Education and Extention Organization. (In Persian)
- Heydari, M.D., Omid, M., Akram, A., Mebli, H., & Rajaeifar, M.A. (2012). Energy consumption in agricultural and livestock products of Iran: a review study. 8th National Congress of Agricultural Machine Engineering (Biosystem) and Mechanization of Iran, Mashhad. (In Persian)
- Hooshmand, A., Mohammadzadeh, H., Kanooni, A., & Haghighi, A. (2021). Optimization of cultivation pattern based on risk management in the downstream irrigation network of Ardabil Yamchi Dam. Iranian Journal of Irrigation & Drainage, 15(4), 918-930. (In Persian with English abstract). https://dorl.net/dor/20.1001.1.20087942.2021.15.4.15.5
- Jones, D., & Barnes, E.M. (2000). Fuzzy composite programming to combine remote sensing and crop models for decision support in precision crop management. Journal of Agricultural System, 65, 137-158. https://doi.org/10.1016/S0308-521X(00)00026-3
- Kitani, O. (1999). CIGR Handbook of Agricultural Engineering, Volume V Energy and Biomass Engineering, Chapter 1 Natural Energy and Biomass, Part 1.3 Biomass Resources.
- Meftah Halaghi, M., Ghorbani, K., Keramatzadeh, A., & Salarijazi, M. (2020). Crop pattern optimization by using Goal programming (case study: Gharesoo basin). Journal of Water and Soil Conservation, 27(1), 163-180. (In Persian with English abstract) https://dx.doi.org/10.22069/jwsc.2020.16875.3223
- Mohammadi, H., Boustani, F., & Kafilzadeh, F. (2012). Optimal cropping pattern using a multi-objectives fuzzy non-linear optimization algorithm: A case study. Water and Wastewater, 23(4), 43-55. (In Persian with English abstract)
- Mohammadian, F., Alizadeh, A., Neyrizi, S., & Arabi, A. (2008). Development of a sustainable cropping pattern based on virtual water trade. Iranian Journal of Irrigation and Drainage, 2(1), 109-126. (In Persian with English abstract)
- Nikoi, A. (2014). Developing the national cropping pattern plan in pilot stage: Dasht village, Shahreza city, Esfahan Province. Final Report. Agricultural Research, Education and Exiension Organization. (In Persian)
- Panahi, A., & Falsafian, A. (2021). Optimization of the crop cultivation in the Shabestar plain under water constraint. Journal of Water and Soil Resources Conservation, 10(4), 36-48. (In Persian with English abstract). https://doi.org/10.30495/wsrcj.2021.18079
- Poursamani, S.(2018). Determining the optimal pattern of crop cultivation using the ideal planning method with an emphasis on the economic efficiency of water consumption and sustainable agriculture (case study: Torbat Jam plain). Master's thesis in the field of agricultural economics, Birjand University. (In Persian)
- Regulwar, D.G., & Gurav, J.B. (2013). Two-phase multi objective fuzzy linear programming approach for sustainable irrigation planning. Journal of Water Resource and Protection, 5(6), 642-651. http://dx.doi.org/10.4236/jwarp.2013.56065
- Saaty, T.L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resources Allocation. Mcgraw-Hill, New York. http://dx.doi.org/10.1016/0377-2217(90)90057-I
- Salehi Shafa, N., Babazadeh, H., Aghayari, F., & Saremi, A. (2022). Determining the optimal cultivation area and pattern of agricultural water consumption in order to manage multi-objective planning. Iranian Journal of Irrigation & Drainage, 16(1), 119-133. (In Persian with English abstract). https://dorl.net/dor/20.1001.1.20087942.1401.16.1.10.7
- Siasar, H., & salari, A. (2021). Optimization of Sistan plain cropping pattern using multi-objective chaotic particle swarm optimization Algorithm. Iranian Journal of Irrigation & Drainage, 15(5), 1006-1017. (In Persian with English abstract). https://dorl.net/dor/20.1001.1.20087942.1400.15.5.2.0
- USDA. (1967). Irrigation water requirements. Tech. Release No. 21, United States Dept. of Agr., Soil Manage, 59, 67–75.
- Zamani, O., Ghaderzadeh, H., & Mortazavi, Sa. (2014). Cropping pattern system respect to sustainable agriculture and optimum use of energy "A case of Saqez County of Kurdistan Province". Journal of Agricultural Science and Sustainable Production, 24(1), 31-43.
Zeng, X., Kang, S., Li, F., Zhang, L., & Guo, P. (2010). Fuzzy multi-objective linear programming applying to crop area planning. Agricultural Water Management, 98(1), 134-142. https://doi.org/10.1016/j.agwat.2010.08.010
|