AI for Biodiversity and Ecosystem Conservation

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Authors: Hina Hashmi, Aman Kumar, Danish Raza Rizvi
Cited by: 0
References: 3

Abstract

Conservation of biodiversity and environmental sustainability are essential in ensuring ecological balance and reducing the impact of climate change. Artificial Intelligence (AI) is a groundbreaking tool for wildlife monitoring, anti-poaching, conservation, marine management, and climate adaptation. In this chapter, the chapter discusses incorporating AI in the conservation process by emphasizing the application of computer vision, remote sensing, and deep Species identification learning, restoration of habitats, and pollution monitoring. Antipoaching efforts and safeguarding of sea biodiversity have been enhanced immensely with AI predictive analysis and autonomous monitoring systems. Concerns such as data bias, ethics, and collaboration with native conservation activities still exist. Future AI technologies, their potential uses, and ethical frameworks for implementing AI-driven conservation in accordance with global sustainability aspirations are also mentioned in this chapter.

Fields of Study & Subjects

Wildlife Ecology and Conservation Conservation Biodiversity and Resource Management Ecology Wildlife Education

Publication details

Journal / source
Wiley eBooks
Pages
261–290
Publication date
27 February 2026
Language
EN
Document type
Book chapter