Estimating Evapotranspiration using Artificial Neural Network-Reference-Cited by-同舟云学术

Estimating Evapotranspiration using Artificial Neural Network

Published:2002-08 Issue:4 Volume:128 Page:224-233
ISSN:0733-9437
Container-title:Journal of Irrigation and Drainage Engineering
language:en
Short-container-title:J. Irrig. Drain Eng.

Author:

Kumar M.¹,Raghuwanshi N. S.²,Singh R.²,Wallender W. W.³,Pruitt W. O.⁴

Affiliation:

1. Research Scholar, Dept. of Agricultural and Food Engineering, Indian Institute of Technology, Kharagpur WB 721 302, India.

2. Associate Professor, Dept. of Agricultural and Food Engineering, Indian Institute of Technology, Kharagpur WB 721 302, India.

3. Professor, Dept. of Biological and Agricultural Engineering and Dept. of Hydrologic Science, Univ. of California, Davis, CA 95616.

4. Emeritus Irrigation Engineer, Dept. of Hydrologic Science, Univ. of California, Davis, CA 95616.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Agricultural and Biological Sciences (miscellaneous),Water Science and Technology,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-9437%282002%29128%3A4%28224%29

Reference27 articles.

1. A Penman for All Seasons

2. Operational Estimates of Reference Evapotranspiration

3. River flood forecasting with a neural network model

4. Penman-Monteith, FAO-24 reference crop evapotranspiration and class-A pan data in Australia

5. De Souza F. and Yoder R. E. (1994). “ET estimation in the north east of Brazil: Hargreaves or Penman-Monteith equation?” Proc. Tech. Paper ASAE Int. Winter Meeting American Society of Agricultural Engineers St. Joseph Mich.

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