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2024 | OriginalPaper | Buchkapitel

A Modified AI Model for Automatic and Precision Monitoring System of Wildlife in Forest Areas

verfasst von : Anandakumar Haldorai, Babitha Lincy R, Suriya Murugan, Minu Balakrishnan

Erschienen in: Artificial Intelligence for Sustainable Development

Verlag: Springer Nature Switzerland

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Abstract

The forest is a natural territory for wildlife species like animals, birds, trees, and shrubs. Precision monitoring of wild animals and birds is important to save the biodiversity. Wild life monitoring is important to maintain the richness of biodiversity; to save the rare animals, birds, and plants; and to monitor the population of wild species. The manual monitoring and surveying are difficult due to the vast area, which is also a time-consuming process. So automatic wildlife monitoring system introduced a modified YOLO model, Recurrent You only look once (ROLO) for surveillance. The experimental results present a hopeful result in identification of wild animals and birds. Particularly, the model setup was compared with other deep learning models, and proved that the proposed model has high precision rate than other models.

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Titel: A Modified AI Model for Automatic and Precision Monitoring System of Wildlife in Forest Areas
verfasst von: Anandakumar Haldorai
Babitha Lincy R
Suriya Murugan
Minu Balakrishnan
Verlag: Springer Nature Switzerland
Buch: Artificial Intelligence for Sustainable Development
Print ISBN: 978-3-031-53971-8

Electronic ISBN: 978-3-031-53972-5

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-3-031-53972-5_25

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