@inbook{9455a71b0b864758913c71f531a21a11,
title = "Wildlife and Forest Resource Management With Artificial Intelligence",
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.",
author = "Rhishikesh Dave and Christian Kaunert and Bhupinder Singh",
year = "2024",
month = nov,
day = "29",
doi = "10.4018/979-8-3693-7565-5.ch014",
language = "English",
isbn = "9798369375655 ",
series = "Advances in Environmental Engineering and Green Technologies",
publisher = "IGI Global",
pages = "301--324",
editor = "Christian Kaunert and Rishabha Malviya and Bhupinder Singh and Sahil Lai and Arora, {Manmeet Kaur}",
booktitle = "Machine Learning and Internet of Things in Fire Ecology",
address = "United States",
}