Honeybee Colony Growth Period Recognition Based on Multivariate Temperature Feature Extraction and Machine Learning

Honeybee Colony Growth Period Recognition Based on Multivariate Temperature Feature Extraction and Machine Learning

Identifying the growth period of bee colonies can guide beekeepers to make better decisions and promote the development of bee colonies. Unlike traditional manual experience-based recognition, this paper proposes a new approach, which combines multivariate temperature feature extraction and machine...

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Bibliographic Details
Main Authors: Chuanqi Lu, Lin Li, Denghua Li, Qiuying Huang, Wei Hong
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
temperature monitoring
time domain characteristic
machine learning
growth period recognition
honeybee colonies
Online Access:https://www.mdpi.com/1424-8220/25/13/3916
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