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A visual analytics framework to study honey bee behaviour
conference contribution
posted on 2023-05-23, 13:34 authored by Engelke, U, Marendy, P, Susanto, F, Williams, R, Mahbub, S, Nguyen, H, De Souza, PWe present an end-to-end visual analytics framework that aims to facilitate prediction and decision making about honey bee health based on micro sensing data. The framework is particularly tailored to cope with heterogeneous data from micro sensors and environmental sensors that are deployed to collect information about bees and their environment. The framework design allows for a wide range of end users, including scientists, bee keepers, and decision makers, to effectively explore the bee data through interactive visual interfaces. User centred design is deployed throughout the development to meet the various requirements of the users. A large scale study is being planned to evaluate and further refine the framework based on user experiences.
History
Publication title
Proceedings from the Second IEEE International Conference on Data Science and SystemsEditors
J Chen, LT YangPagination
1504-1511ISBN
9781509042975Department/School
School of Information and Communication TechnologyPublisher
Institute of Electrical and Electronics EngineersPlace of publication
United StatesEvent title
The Second IEEE International Conference on Data Science and SystemsEvent Venue
Sydney, AustraliaDate of Event (Start Date)
2016-12-12Date of Event (End Date)
2016-12-14Rights statement
Copyright 2016 IEEERepository Status
- Restricted