Autor(es): Cardoso, Fábio ; Carvalho, Daniel ; Gaspar, Pedro Dinis ; Soares, V.N.G.J. ; Caldeira, J.M.L.P.
Data: 2024
Identificador Persistente: http://hdl.handle.net/10400.11/10355
Origem: Repositório Científico do Instituto Politécnico de Castelo Branco
Assunto(s): Smart farming; Bird deterrence; Acoustic bird species detection; BirdNET; Crop protection; Sensors; IoT
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.
