Work

Deep Learning Enhanced Virtual Sensing: A Cost-Effective Approach for Water Quality Monitoring in Aquaculture

Year: 2025

Type: article

Source: IEEE Transactions on AgriFood Electronics

DOI: 10.1109/tafe.2025.3569481

Authors: Rasheed Abdul Haq K. P., V. P. Harigovindan, Pao-Ann Hsiung

Institutions: National Institute of Technology, Puducherry, National Chung Cheng University

Language: English

Topic: Water Quality Monitoring Technologies

Subfield: Water Science and Technology

Field: Environmental Science

Domain: Physical Sciences

SDGs: Clean water and sanitation, Zero hunger

Open Access status: closed

Funder: Department of Science and Technology, Philippines

OpenAlex ID: W4410808477

FWCI: 0.773

Cites: 38

Cited by: 3

Related to: 10