Comparative Study of Machine Learning Models for Bee Colony Acoustic Pattern Classification on Low Computational Resources

In precision beekeeping, the automatic recognition of colony states to assess the health status of bee colonies with dedicated hardware is an important challenge for researchers, and the use of machine learning (ML) models to predict acoustic patterns has increased attention. In this work, five clas...

Full description

Bibliographic Details
Main Authors: Antonio Robles-Guerrero, Tonatiuh Saucedo-Anaya, Carlos A. Guerrero-Mendez, Salvador Gómez-Jiménez, David J. Navarro-Solís
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/1/460