Work

Review on Sustainable Forestry with Artificial Intelligence

Year: 2025

Type: article

Abstract: Sustainable forest management (SFM) is essential for preserving biodiversity, maintaining ecosystem services, and mitigating climate change. This systematic review synthesizes global trends and innovations in SFM practices, analyzing peer-reviewed literature from 2015 to 2025 to identify effective strategies and emerging technologies. The review examines a diverse range of approaches, including forest health index, forest health sensing techniques, emphasizing remote sensing, ground-based monitoring, and the application of machine learning (ML) and artificial intelligence (AI). Moreover, the review highlights SFM practices, including ecosystem-based approaches, community and indigenous involvement, carbon sequestration strategies, and local and global policy frameworks. By integrating technological advancements with policy-driven initiatives, this study provides a comprehensive understanding of current trends and innovations in forest management, offering valuable insights for researchers, policymakers, and practitioners.

Source: ACM Journal on Computing and Sustainable Societies

DOI: 10.1145/3759259

Authors: Rayan Binlajdam, Dulani Meedeniya, Charuni Kosala, Oktay Karakus, Omer Rana, Pablo Ter Wengel, Benoit Goossens, Adisorn Lertsinsrubtavee, Preechai Mekbungwan, Deepak Mishra, Charith Perera

Institutions: University of Jeddah, Cardiff University, University of Moratuwa, Asian Institute of Technology, UNSW Sydney

Language: English

Topic: Forest Management and Policy

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDGs: Life on land, Climate action

Open Access status: bronze

OpenAlex ID: W4413645141

FWCI: 5.237

Cites: 182

Cited by: 12

Related to: 10