Water Quality Prediction for Smart Aquaculture Using Hybrid Deep Learning Models-Reference-Cited by-同舟云学术

Water Quality Prediction for Smart Aquaculture Using Hybrid Deep Learning Models

Published:2022 Issue: Volume:10 Page:60078-60098
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Rasheed Abdul Haq K. P.¹^ORCID,Harigovindan V. P.¹^ORCID

Affiliation:

1. Department of Electronics and Communication Engineering, National Institute of Technology Puducherry, Karaikal, India

Funder

“Design and Development of IoT-Based Low Cost Water Quality Monitoring and Reporting System for Aquaculture”

Department of Science & Technology (DST) (Science for Equity Empowerment and Development (SEED) Division), Ministry of Science and Technology, Government of India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09789166.pdf?arnumber=9789166

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