Author:
Kumar Sunil,Sharda Rakesh,Goyal Pooja,Siag Mukesh,Kaur Prabhjyot
Publisher
Springer Science and Business Media LLC
Subject
General Environmental Science
Reference79 articles.
1. Shiri, J., Nazemi, A. H., Sadraddini, A. A., Landeras, G., Kisi, O., Fard, A. F., & Marti, P. (2013). Global cross-station assessment of neuro-fuzzy models for estimating daily reference evapotranspiration. Journal of Hydrology, 480, 46–57.
2. Sentelhas, P. C., Gillespie, T. J., & Santos, E. A. (2010). Evaluation of FAO Penman-Monteith and alternative methods for estimating reference evapotranspiration with missing data in Southern Ontario Canada. Agricultural Water Management, 97(5), 635–644.
3. Adeloye, A. J., Rustum, R., & Kariyama, I. D. (2012). Neural computing modelling of the reference crop evapotranspiration. Environmental Modelling & Software, 29, 61–73.
4. Malik, A., Kumar, A., Ghorbani, M. A., Kashani, M. H., Kisi, O., & Kim, S. (2019). The viability of co-active fuzzy inference system model for monthly reference evapotranspiration estimation: Case study of Uttarakhand State. Hydrology Research, 50, 1623–1644.
5. Allen, R. G., Pereira, L. S., Raes, D., & Smith, M. (1998). Crop evapotranspiration guidelines for computing crop water requirements. In: FAO irrigation and drainage, Paper No.56, Food and Agriculture Organization of the United Nations, Rome, Italy.
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