Work

AI-Powered Digital Twin for Sustainable Agriculture and Greenhouse Gas Reduction

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT (HONET)

DOI: 10.1109/honet63146.2024.10822980

Authors: Baihua Li, Mike Thompson, Tom Partridge, Ruiming Xing, Jack Cutler, Bashar Alhnaity, Qinggang Meng

Institution: Loughborough University

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDGs: Climate action, Zero hunger, Industry, innovation and infrastructure

Open Access status: closed

Funders: Rothamsted Research, European Space Agency, Engineering and Physical Sciences Research Council

Awards: G2313009260, Self-Learning Digital Twins for Sustainable Land Management

OpenAlex ID: W4406138828

FWCI: 5.294

Cites: 11

Cited by: 7

Related to: 10