Deep-Learning Segmentation of Clogging Patterns of Cylindrical Drip Emitters with Varied Geometric Features-Reference-Cited by-同舟云学术

Deep-Learning Segmentation of Clogging Patterns of Cylindrical Drip Emitters with Varied Geometric Features

Published:2022-04 Issue:4 Volume:148 Page:
ISSN:0733-9437
Container-title:Journal of Irrigation and Drainage Engineering
language:en
Short-container-title:J. Irrig. Drain Eng.

Author:

Ramachandrula Venkata Ramamohan¹^ORCID,Kasa Ramamohan Reddy²

Affiliation:

1. Executive Director, Water and Livelihoods Foundation (WLF), 12-13-451, St. No. 1, Tarnaka, Secunderabad, Telangana 500017, India; Research Scholar, Centre for Water Resources (CWR), Institute for Science and Technology (IST), JNTU, Hyderabad, Telangana 500085, India (corresponding author). ORCID: .

2. Professor, Centre for Water Resources (CWR), Institute for Science and Technology (IST), JNTU, Hyderabad, Telangana 500085, India.

Publisher

American Society of Civil Engineers (ASCE)

Subject

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

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29IR.1943-4774.0001657

Reference17 articles.

1. Automated segmentation of computed tomography images of fiber-reinforced composites by deep learning

2. Discrimination of pores and cracks in iron ore pellets using deep learning neural networks

3. Numerical study on flow property in dentate path of drip emitters

4. Effect of optimization forms of flow path on emitter hydraulic and anti-clogging performance in drip irrigation system

5. INFLUENCE OF GEOMETRICAL PARAMETERS OF LABYRINTH FLOW PATH OF DRIP EMITTERS ON HYDRAULIC AND ANTI-CLOGGING PERFORMANCE

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3. Micro-Computed Tomography (µCT) Study of Clogging in Long-Used Strip and Cylindrical Drip Emitters;Journal of The Institution of Engineers (India): Series A;2022-10-28