Balancing Complexity and Performance of Machine Learning Models for Avian Pests Sound Detection in Agricultural Environments

Balancing Complexity and Performance of Machine Learning Models for Avian Pests Sound Detection in Agricultural Environments

Agricultural pest control traditionally relies on inefficient visual inspections. Acoustic monitoring offers a promising alternative by analyzing pest-specific sounds. While effective, implementing acoustic monitoring in agricultural settings faces practical constraints, particularly the limited com...

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Bibliographic Details
Main Authors: Micheline Kazeneza, Anna Sergeevna Bosman, Destiny Kwabla Amenyedzi, Damien Hanyurwimfura, Emmanuel Ndashimye, Anthony Vodacek
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Acoustic monitoring
bird pest detection
deep learning
knowledge distillation
machine learning
Online Access:https://ieeexplore.ieee.org/document/11039837/
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https://ieeexplore.ieee.org/document/11039837/

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