IoT-based underwater robotics for water quality monitoring in aquaculture: A survey

Shibao Yang; Pengcheng Liu; Tiong Hoo Lim

IoT-based underwater robotics for water quality monitoring in aquaculture: A survey

Shibao Yang, Pengcheng Liu, Tiong Hoo Lim

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	The 11th International Conference on Robot Intelligence Technology and Applications (RiTA 2023)
Publisher	Springer
Publication status	Accepted/In press - 31 Oct 2023

Bibliographical note

This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy.

Access to Document

RiTA_2
This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy.
Accepted author manuscript, 962 KBLicence: CC BY

1 Finished
1 Active

Intelligent Dependable Environment Control for Sustainable Aquaculture
Liu, P.
EPSRC
1/01/24 → 31/12/25
Project: Research project (funded) › Research
Real-time data quality analysis and control for aquaculture prawn farming management
Liu, P.
1/04/22 → 31/12/23
Project: Research project (funded) › Research

Cite this

@inproceedings{48e37ebd6aa24ba599a610352fd7fbc7,

title = "IoT-based underwater robotics for water quality monitoring in aquaculture: A survey",

author = "Shibao Yang and Pengcheng Liu and Lim, {Tiong Hoo}",

note = "This is an author-produced version of the published paper. Uploaded in accordance with the University{\textquoteright}s Research Publications and Open Access policy.",

year = "2023",

month = oct,

day = "31",

language = "English",

booktitle = "The 11th International Conference on Robot Intelligence Technology and Applications (RiTA 2023)",

publisher = "Springer",

address = "Germany",

}

TY - GEN

T1 - IoT-based underwater robotics for water quality monitoring in aquaculture: A survey

AU - Yang, Shibao

AU - Liu, Pengcheng

AU - Lim, Tiong Hoo

N1 - This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy.

PY - 2023/10/31

Y1 - 2023/10/31

M3 - Conference contribution

BT - The 11th International Conference on Robot Intelligence Technology and Applications (RiTA 2023)

PB - Springer

ER -

IoT-based underwater robotics for water quality monitoring in aquaculture: A survey

Bibliographical note

Access to Document

Projects

Intelligent Dependable Environment Control for Sustainable Aquaculture

Real-time data quality analysis and control for aquaculture prawn farming management

Cite this