An overview of AI applications in wildlife conservation

Title

An overview of AI applications in wildlife conservation

Creator

Kumar, Binod; Ghosh, Oindrilla

Description

The integration of artificial intelligence (AI) into wildlife conservation has revolutionized methodologies for monitoring species, enhancing habitat management, and combating poaching. This chapter examines various AI applications that contribute to the protection and preservation of biodiversity. Remote sensing technologies, powered by machine learning algorithms, assist in assessing habitat health and tracking changes over time. AI- driven image recognition tools enable the identification of individual animals from camera trap photos, facilitating more accurate population estimates and behavioral studies. Moreover, predictive analytics play a crucial role in forecasting human- wildlife conflicts and informing proactive management strategies. This synthesis of AI technologies demonstrates their potential to enhance conservation efforts, optimize resource allocation, and ultimately foster more effective wildlife protection initiatives. The ongoing advancement of AI in this field promises to create innovative solutions to some of the most pressing challenges. 2025, IGI Global Scientific Publishing. All rights reserved.

Source

AI and Machine Learning Techniques for Wildlife Conservation;pp.19-48

Date

01-01-2025

Publisher

IGI Global

Coverage

Kumar B., Radha Govind University, India; Ghosh O., Christ University, Bangalore, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 979-836936937-1; 979-836936935-7;

Format

online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.4018/979-8-3693-6935-7.ch002

https://www.scopus.com/pages/publications/86000090799?origin=resultslist