Akbarpour, A., Khorashadizadeh, O., Shahidi, A., Ghochanian, E., 2013. Performance evaluation of artificial neural network models in estimate production of yield saffron based on climate parameters. Journal of Saffron Research. 1(1), 27-35. [In Persian with English Summary].
Baldi, P., Pedron, L., Hietala, A.M., Porta, N.A., 2011. Cold tolerance in cypress (Cupressus sempervirens L.): a physiological and molecular study. Tree Genetics Genomes. 7, 79-90.
Baninasab, B., 2009. Amelioration of chilling stress by paclobutrazol in watermelon seedlings. Scientia Horticulture. 121, 144-148.
Battes, L.S., Waldren, A., Teare, I.D., 1973. Rapid determination of free proline for water stress studies. Plant and Soil. 29, 205-207.
Chandra Rai, A., Singh, M., Shah, K., 2013. Engineering drought tolerance tomato plants over-Expressing BcZAt12 gene encoding aC2H2 zinc finger transcription factor. Phytochemistry. 85, 44-50.
Dong, X., Bi, H., Wu, G. & Ai, X. (2013). Drought-induced chilling tolerance in cucumber involves membrane stabilisation improved by antioxidant system. International Journal of Plant Production, 7(1): 67-79.
Hällgreen, J.E., Öquest, G., 1990. Adaptations to Low Temperatures, Stress Responses in Plants: Adaptation and Acclimation Mechanisms. Wiley-Liss Inc. New York
Hosaini, M.T., Siosemarde, A., Fathi, A., Siosemardem M., 2008. Application of artificial neural network (ANN) and multiple regression for estimating assessing the performance of dry farming wheat yield in Ghoraveh region, Kurdistan province. Agricultural research. 7, 41-54. [In Persian with English Summary].
Javanmardi, J., 2009. Vegetable Transplant Production. Jehade Daneshgahi Publication. 256P. [In Persian].
Krasensky, J., Jonak, C., 2012.Drought, salt, and temperature stress-induced metabolic rearrangements and regulatory networks. Journal of Experimental Botany. 63, 1593-1608.
Mahajan, S.H., Tuteja, N., 2005. Cold, salinity and drought stresses: An overview. Archives of Biochemistry and Biophysics. 444, 139–158.
McDonald, S., Prenzler, P.D., Autolovich, M., Robards, K., 2001. Phenolic content and antioxidant activity of olive extracts. Food Chemistry. 73, 73-84.
Rezaie, M., Rouhani, A., 2013. Modeling and optimization of stomatal resistance in olive under NaCl salinity stress by using artificial neural network and genetic algorithm. Plant Improvement. 15, 53-64. [In Persian with English Summary].
Salehi, F., Razavi, S.M.A., 2016. Modeling of waste brine nanofiltration process using artificial neural network and adaptive neuro-fuzzy inference system. Desalination and Water Treatment.
Salehi, F., Razavi, S.M.A., 2012. Dynamic modeling of flux and total hydraulic resistance in nanofiltration treatment of regeneration waste brine using artificial neural network. Desalination and Water Treatment. 41, 95-104.
Saltveit, M.E., 2000. Chilling injury is reduced in cucumber and rice seedlings and in tomato pericarp discs by heat-shocks applied after chilling. Postharvest Biology and Technolog. 21, 169-177.
Strain, H.H., Svec, W.A., 1966. Extraction, separation and isolation of chlorophylls. Chlorophylls. Academic Press, New York. 24-61 pages.
Tabrizian, H.A., Ghaforian, H., Hakimabadi, V., 2012. The possibility of environmental stress in pistachio plant based on climate data using artificial neural network. MSc thesis. Garmsar University. Semnan, Iran. [In Persian with English Summary].