Work

Appling machine learning for estimating total suspended solids in BFT aquaculture system

Year: 2024

Type: article

Source: Aquacultural Engineering

DOI: 10.1016/j.aquaeng.2024.102439

Authors: Érico Tadao Teramoto, Wilson Wasielesky, Dariano Krummenauer, Guilherme Wolff Bueno, Danilo Cintra Proença, Carlos Augusto Prata Gaona

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: green

Funders: Fundação de Amparo à Pesquisa do Estado de São Paulo, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul

Awards: G1229304338, G1326233149, G2128923727, Use of solar energy and social innovation in food drying in traditional communities of subtropical atlantic forest, G2522250797, G36098972, G4413228064, G5157449158, G6752406513, BLASp4: IoT platform for predicting bioeconomic carry capacity and ecosystem aquaculture services under different climate, zootechnical and financial scenarios of fish farms in neotropical environment, G8389973485

OpenAlex ID: W4400624360

FWCI: 1.334

Cites: 41

Cited by: 12

Related to: 10