Modeling bee hive dynamics. Assessing colony health using hive weight and environmental parameters
Authors
Author (Corporation)
Publication date
2024
Typ of student thesis
Course of study
Collections
Type
01A - Journal article
Editors
Editor (Corporation)
Supervisor
Parent work
Computers and Electronics in Agriculture
Special issue
DOI of the original publication
Link
Series
Series number
Volume
218
Issue / Number
C
Pages / Duration
Patent number
Publisher / Publishing institution
Elsevier
Place of publication / Event location
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
Our state-of-the-art methods study hive weight and predict bee health and colony condition using advanced machine learning tools trained with unlabeled data. By integrating methodologies such as signal extraction, similar trend monitoring, principal component analysis, and MM-Regression, our goal is to translate hive weight fluctuations into predictive insights for future hive monitoring systems. In particular, signal extraction methods are used to obtain an interpretable signal and to detect level shifts, exploratory analysis is used to visually detect dissimilar weight trajectories from nearby hives, historical data are used to robustly predict hive weights, and to trigger an alarm when predictions and actual observations differ significantly. Our study shows how these methods can be successfully used to analyze and predict hive weights and underscore the need for future research to accumulate labeled data and to adopt a holistic perspective, incorporating a wider spectrum of influences of hive weight simultaneously.
Keywords
Subject (DDC)
330 - Wirtschaft
630 - Landwirtschaft, Veterinärmedizin
630 - Landwirtschaft, Veterinärmedizin
Event
Exhibition start date
Exhibition end date
Conference start date
Conference end date
Date of the last check
ISBN
ISSN
0168-1699
1872-7107
1872-7107
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Hybrid
License
Citation
DEGENFELLNER, Jürgen und Matthias TEMPL, 2024. Modeling bee hive dynamics. Assessing colony health using hive weight and environmental parameters. Computers and Electronics in Agriculture. 2024. Bd. 218, Nr. C. DOI 10.1016/j.compag.2024.108742. Verfügbar unter: https://doi.org/10.26041/fhnw-10947