Azizi-Zohan, A.A., Kamgar-Haghighi, A.A., and Sepaskhah, A.R. 2009. Saffron (Crocus sativus L.) production as influenced by rainfall, irrigation method, and intervals. Archives of Agronomy and Soil Science 55 (5): 547-555. https://doi.org/10.1080/03650340802585205.
Dastranj, M., and Sepaskhah, A.R. 2019. Saffron response to irrigation regime, salinity, and planting method. Scientia Horticulturae 251: 215-224. https://doi.org/10.1016/j.scienta.2019.03.027.
Ebrahimipak, N., Ahmadee, M., Egdernezhad, A., and Khashei Suiki, A. 2018. Evaluation of AquaCrop to simulate saffron (Crocus sativus L.) yield under different water management scenarios and zeolite amounts. Journal of Water and Soil Resources Conservation 8 (1): 117-132. (In Persian). https://doi.org/10.22059/ijswr.2018.236158.667708.
Hosseinzadeh, M., Samadi Foroushani, M., and Sadraei, R. 2022. Dynamic performance development of entrepreneurial ecosystem in the agricultural sector. British Food Journal 124 (7): 2361-2395. https://doi.org/10.1108/BFJ-08-2021-0909.
Raes, D., Steduto, P., Hsiao, T.C., and Fereres, E. 2009. AquaCrop—the FAO crop model to simulate yield response to water: II. Main algorithms and software description. Agronomy Journal 101 (3): 438-447. https://doi.org/10.2134/agronj2008.0140s.
Koocheki, A., Ebrahimian, E., and Seyyedi, S.M. 2016. How irrigation rounds and mother corm size control saffron yield, quality, daughter corms behavior and phosphorus uptake. Scientia Horticulturae 213: 132-143. http://dx.doi.org/10.1016/j.scienta.2016.10.028.
Koocheki, A., Seyyedi, S.M., and Eyni, M.J. 2014. Irrigation levels and dense planting affect flower yield and phosphorus concentration of saffron corms under semi-arid region of Mashhad, Northeast Iran. Scientia Horticulturae 180: 147-155. http://dx.doi.org/10.1016/j.scienta.2014.10.031.
Kour, K., Gupta, D., Gupta, K., Dhiman, G., Juneja, S., Viriyasitavat, W., and Islam, M.A. 2022. Smart-hydroponic-based framework for saffron cultivation: a precision smart agriculture perspective. Sustainability 14 (3): 1120. https://doi.org/10.3390/su14031120.
Laureti, T., Benedetti, I., and Branca, G. 2021. Water use efficiency and public goods conservation: A spatial stochastic frontier model applied to irrigation in Southern Italy. Socio-Economic Planning Sciences 73: 100856. http://dx.doi.org/10.1016/j.seps.2020.100856.
Mansour, H.A., El-Hady, M.A., Eldardiry, E.I., and Saad, S.S. 2020. Using aquacrop model to evaluate the effect of pulse drip irrigation techniques and water stress on maize water productivity. Plant Archives 20 (1): 3232-3242.
Mirsafi, Z.S., Sepaskhah, A.R., Ahmadi, S.H., and Kamgar-Haghighi, A.A. 2016. Assessment of AquaCrop model for simulating growth and yield of saffron (Crocus sativus L.). Scientia Horticulturae 211: 343-351. https://doi.org/10.1016/j.scienta.2016.09.020.
Mosafery Zyaaldiny, H., Alizadeh, A., and Rezvani Moghaddam, P. 2020. Effect of irrigation regimes on crop water use efficiency of saffron (Case study Bakharz region of Khorasan Razavi, Iran). M.Sc. Thesis, Ferdowsi University of Mashhad, Iran. (In Persian with English Summary).
Nassiri-Mahallati, M., and Jahan, M. 2020. Using the AquaCrop model to simulate sesame performance in response to superabsorbent polymer and humic acid application under limited irrigation conditions. International Journal of Biometeorology 64(12): 2105-2117. http://dx.doi.org/10.1007/s00484-020-02001-z.
Sepaskhah, A.R., Amini-Nejad, M., and Kamgar-Haghighi, A.A. 2013. Developing a dynamic yield and growth model for saffron under different irrigation regimes. International Journal of Plant Production 7(3): 437-504. https://doi.org/10.22069/ijpp.2013.1115.
Sepaskhah, A.R., and Kamgar-Haghighi, A.A. 2009. Saffron irrigation regime. International Journal of Plant Production 3 (1): 1–16.
Aghhavani Shajari, M.A., Moghaddam, P.R., Ghorbani, R., and Koocheki, A. 2020. The possibility of improving saffron (Crocus sativus L.) flower and corm yield through the irrigation and soil texture managements. Scientia Horticulturae 271: 109485. https://doi.org/10.1016/j.scienta.2020.109485.
Steduto, P., Hsiao, T.C., Raes, D., and Fereres, E. 2009. AquaCrop—The FAO crop model to simulate yield response to water: I. Concepts and underlying principles. Agronomy Journal 101 (3): 426-437. https://doi.org/10.2134/agronj2008.0139s.
Tehrani, A., Ziaei, A.N., and Naghedifar, S.M. 2023. Irrigation scheduling of walnut seedlings using HYDRUS-1D and Taguchi optimization approach. Journal of Irrigation and Drainage Engineering 149 (1): 04022045. https://doi.org/10.1061/(ASCE)IR.1943-4774.0001735.
Wang, H., Wang, N., Quan, H., Zhang, F., Fan, J., Feng, H., and Xiang, Y. 2022. Yield and water productivity of crops, vegetables and fruits under subsurface drip irrigation: A global meta-analysis. Agricultural Water Management 269: 107645. https://doi.org/10.1016/j.agwat.2022.107645.
Yarami, N., Kamgar-Haghighi, A.A., Sepaskhah, A.R., and Zand-Parsa, S. 2011. Determination of the potential evapotranspiration and crop coefficient for saffron using a water-balance lysimeter. Archives of Agronomy and Soil Science 57(7): 727-740. https://doi.org/10.1080/03650340.2010.485985.