Evaluation of Minor Losses in Connectors Used in Microirrigation Subunits Using Machine Learning Techniques-Reference-Cited by-同舟云学术

Evaluation of Minor Losses in Connectors Used in Microirrigation Subunits Using Machine Learning Techniques

Published:2021-08 Issue:8 Volume:147 Page:04021032
ISSN:0733-9437
Container-title:Journal of Irrigation and Drainage Engineering
language:en
Short-container-title:J. Irrig. Drain Eng.

Author:

Bombardelli Wagner W. A.¹^ORCID,Camargo Antonio P.²,Rodrigues Luiz H. A.²,Frizzone José A.³

Affiliation:

1. Ph.D. Student, Dept. of Biosystems Engineering, College of Agriculture “Luiz de Queiroz,” Univ. of São Paulo, Piracicaba, SP 13418-900, Brazil (corresponding author). ORCID: .

2. Professor, Agricultural Engineering College, Univ. of Campinas, Campinas, SP 13083-970, Brazil.

3. Professor Senior, Dept. of Biosystems Engineering, College of Agriculture “Luiz de Queiroz,” Univ. of São Paulo, Piracicaba, SP 13418-900, Brazil.

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%29IR.1943-4774.0001591

Reference71 articles.

1. Abadi M. P. Barham J. Chen Z. Chen A. Davis and J. Dean. 2016. “Tensorflow: A system for large-scale machine learning.” In Proc. 12th Symp. on Operating Systems Design and Implementation (OSDI 16) 265–283. Savannah GA: USENIX.

2. Significance of Energy Losses Due to Emitter Connections in Trickle Irrigation Lines

3. Differential Evolution with DEoptim

4. Evaluating Pressure Losses in Drip-Irrigation Lines

5. Practical Recommendations for Gradient-Based Training of Deep Architectures

Cited by 2 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

1. Analysis of local head losses in microirrigation lateral connectors based on machine learning approaches;Irrigation Science;2023-02-28

2. Designing Trickle Irrigation Systems in Sloping Fields without Pressure-Compensating Emitters: Application of the IRRILAB Software;Journal of Irrigation and Drainage Engineering;2022-12