Work

Fish weight prediction using empirical and data-driven models in aquaculture systems

Year: 2024

Type: conference-paper

Source: IEEE Conference on Control Technology and Applications (CCTA)

DOI: 10.1109/ccta60707.2024.10666549

Authors: Xiao Chen, Ibrahima N’Doye, Fahad Aljehani, Taous-Meriem Laleg-Kirati

Institutions: King Abdullah University of Science and Technology, Institut national de recherche en sciences et technologies du numérique

Language: English

Topic: Water Quality Monitoring Technologies

Subfield: Water Science and Technology

Field: Environmental Science

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: closed

Funder: King Abdullah University of Science and Technology

OpenAlex ID: W4402437185

FWCI: 5.568

Cites: 21

Cited by: 4

Related to: 10