Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Reference63 articles.
1. Aghajanloo M, Sabziparvar A, Talaee PH (2013) Artificial neural network–genetic algorithm for estimation of crop evapotranspiration in a semi-arid region of Iran. Neural Comput Appl 23:1387–1393
2. Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration: guidelines for computing crop water requirements. FAO Irrigation and drainage Paper No. 56, FAO, Rome
3. Allen RG, Hill RW, Srikanth V (1994) Evapotranspiration parameters for variably sized wetlands. Am Soc Agric Eng 94:21–32
4. Alves WB, Rolim GS, Aparecido LE (2017) Reference evapotranspiration forecasting by artificial neural networks. J Braz Assoc Agric Eng 37(6):1116–1125. https://doi.org/10.1590/1809-4430-eng.agric.v37n6p1116-1125/2017f
5. Antonopoulos VZ, Antonopoulos AV (2017) Daily reference evapotranspiration estimates by artificial neural networks technique and empirical equations using limited input climate variables. Comput Electron Agric 132:86–96
Cited by
32 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献