Work

Impact of Employing Weather Forecast Data as Input to the Estimation of Evapotranspiration by Deep Neural Network Models

Year: 2025

Type: conference-paper

Source: Springer proceedings in earth and environmental sciences

DOI: 10.1007/978-981-96-4345-5_5

Authors: Pedro J. Vaz, Gabriela Schütz, Carlos Guerrero, Pedro J. S. Cardoso

Institutions: Laboratório de Robótica e Sistemas de Engenharia, University of Algarve, University of Évora

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Climate action, Zero hunger

Open Access status: green

Funder: Fundação para a Ciência e a Tecnologia

Awards: Instituto Mediterrâneo para a Agricultura, Ambiente e Desenvolvimento, Laboratório de Robótica e Sistemas de Engenharia, G3838636553, Centro de Electrónica, Optoelectrónica e Telecomunicações, G4964156841, Centro de Electrónica, Optoelectrónica e Telecomunicações, G7506750616, G787757375, G8815410947

OpenAlex ID: W4408975111

FWCI: 11.65

Cites: 19

Cited by: 5

Related to: 10