Wildlife and Forest Resource Management With Artificial Intelligence

Rhishikesh Dave, Christian Kaunert, Bhupinder Singh

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The incorporation if AI in the management of wildlife and forest assets can transform conservation challenges by providing new ways to protect biodiversity and ensure ecosystem sustainability. Machine learning, computer vision and other AI technologies are to monitor wildlife populations with high accuracy. These include tools that enable the analyses of vast datasets collected from remotely sensed technologies including drones, satellite imagery for real-time biodiversity and forest dynamics. Though AI provides many benefits, there are numerous issues that must be tackled around all things from data privacy to ethical considerations and the necessity of a transactional or multi-disciplinary attempt on it. This chapter comprehensively explores the AI can be used for sustainable wildlife and forest resources that humans thought they might not manage forever because it is important to keep them alive.
Original languageEnglish
Title of host publicationMachine Learning and Internet of Things in Fire Ecology
EditorsChristian Kaunert, Rishabha Malviya, Bhupinder Singh, Sahil Lai, Manmeet Kaur Arora
PublisherIGI Global
Chapter14
Pages301-324
Number of pages24
ISBN (Electronic)9798369375679
ISBN (Print)9798369375655 , 9798369375662
DOIs
Publication statusPublished - 29 Nov 2024

Publication series

NameAdvances in Environmental Engineering and Green Technologies
PublisherIGI Global
ISSN (Print)2326-9162

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