A Study on Acoustic Bird Detection in the Context of Smart Agriculture

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Fábio Cardoso
Daniel Carvalho
Pedro D. Gaspar
Vasco N. G. J. Soares
João M. L. P. Caldeira

Resumo

Bird attacks on crops represent one of the main challenges faced by farmers to make a farm profitable and sustainable. This challenge requires a paradigm shift from old, traditional, ineffective methods, towards the incorporation of smart farming technologies. Intelligent or precision agriculture contributes to the effective and efficient management of resources and, consequently, an increase in production. This work first reviews projects, techniques and methods that can be used for bird species detection and identification based on their sound. Then, a performance evaluation study is conducted on two different approaches that can be employed for the development of a smart bird deterrence solution. Their strengths and limitations are highlighted. The findings can be used as a foundation for future research in this area.

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