A machine learning-based multiclass classification model for bee colony anomaly identification using an IoT-based audio monitoring system with an edge computing framework
Sheng-Hao Chen, Jen-Cheng Wang, Hung‐Jen Lin, Mu-Hwa Lee, An-Chi Liu, Yueh‐Lung Wu, Pei‐Shou Hsu, En‐Cheng Yang, Joe‐Air Jiang
Topics & Concepts
Computer scienceAnomaly detectionIdentification (biology)Machine learningInternet of ThingsArtificial intelligenceEnhanced Data Rates for GSM EvolutionEdge computingAnomaly (physics)Embedded systemPhysicsBiologyCondensed matter physicsBotanyInsect and Pesticide ResearchPlant and animal studiesBee Products Chemical Analysis