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Prediction of wind drift and evaporation losses from sprinkler irrigation using neural network and multiple regression techniques

  • Published:2018-01 Issue: Volume:195 Page:211-221
  • ISSN:0378-3774
  • Container-title:Agricultural Water Management
  • language:en
  • Short-container-title:Agricultural Water Management

Author:

Al-Ghobari Hussein M.,El-Marazky Mohamed S.,Dewidar Ahmed Z.,Mattar Mohamed A.

Funder

Deanship of Scientific Research, King Saud University

Agriculture Research Center, College of Food and Agriculture Sciences

Publisher

Elsevier BV

Subject

Earth-Surface Processes,Soil Science,Water Science and Technology,Agronomy and Crop Science

Reference65 articles.

1. Evaporation and drift losses from sprinkler irrigation systems under hot and dry conditions;Abo-Ghobar;J. King Saud Univ. Agric. Sci.,1993

2. Field assessment of friction head loss and friction correction factor equations;Alazba;J. Irrig. Drain Eng. ASCE,2012

3. Artificial neural networks: fundamentals, computing, design, and application;Basheer;J. Microbiol. Method,2000

4. Evaporation losses from sprinkler irrigation systems under various operating conditions;Bavi;J. Appl. Sci.,2009

5. Irrigation performance measures: efficiency and uniformity;Burt;J. Irrig. Drain Eng. ASCE,1997
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