AI-Driven Forest Management: A Critical Study
- DOI
- 10.2991/978-2-38476-426-6_16How to use a DOI?
- Keywords
- Artificial Intelligence; Forest Management; Sustainable Development; Forest and Wildlife
- Abstract
We are living in an era of technology that has made our lives dependent upon Artificial Intelligence (AI) or machine learning. The Use of AI in our daily activities has made our lives easier. At the same time, we must not forget that ensuring sustainable development is also the need of the hour and AI can assist achieving these Goals). A forest not only acts as a home for wildlife but on a larger scale, it aids and assists existing life on Earth. Proper management of the forest and its resources ensures a clean and healthy environment acting as a shield against the global threat of climate change, global warming etc. AI can effectively be used in forest management in the form of detecting and preventing illegal logging of trees, unauthorized construction in the forest, forest encroachment, illegal extraction of forest resources, and poaching of wildlife via drone etc. This approach enables accurate identification and demarcation of forest boundaries. Further judicial pronouncements in recent times also insist upon using AI for effective forest management. However, using AI for forest management is not free from challenges. AI tools and their installation are expensive. Skilled personnel are scarce for using and providing training for using such tools. The present paper focuses on the use of AI towards ensuring effective forest management and the challenges being faced in using AI. The paper would also contain suggestions for dealing with such challenges.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Mudit Jain AU - Vishnupriya Pandey AU - Pankaj Chhuttani AU - C. Sandeep PY - 2025 DA - 2025/06/06 TI - AI-Driven Forest Management: A Critical Study BT - Proceedings of the National Seminar on Enhancing Privacy Protection in the Digital Age: Legal Challenges & Innovations (NSEPPDA 2025) PB - Atlantis Press SP - 273 EP - 297 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-426-6_16 DO - 10.2991/978-2-38476-426-6_16 ID - Jain2025 ER -