Work

Incorporating deep learning predictions to assess the water-energy-food nexus security

Year: 2023

Type: article

Source: Environmental Science & Policy

DOI: 10.1016/j.envsci.2023.03.010

Authors: Alma Yunuen Raya-Tapia, Francisco Javier López-Flores, José María Ponce-Ortega

Institution: Universidad Michoacana de San Nicolás de Hidalgo

Language: English

Topic: Water-Energy-Food Nexus Studies

Subfield: Water Science and Technology

Field: Environmental Science

Domain: Physical Sciences

SDGs: Zero hunger, Climate action, Clean water and sanitation, Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

Funder: Consejo Nacional de Ciencia y Tecnología

OpenAlex ID: W4353110619

FWCI: 2.739

Cites: 40

Cited by: 36

Related to: 10