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Swarm Sensing Modelling

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About this Collection

Swarm Sensing Modelling


Pollination provided by honey bees is crucial for global agricultural production yet bee populations are declining. To investigate potential stressors to honey bee health, the Swarm Sensing Project is developing miniature sensing devices and mounting them on large numbers of bees, in order to provide detailed information on their behaviour. An agen... more


Artificial Intelligence and Image Processing not elsewhere classified Environmental Monitoring Simulation and Modelling


https://doi.org/10.4225/08/57A7DE31147FA


12 Jan 2015


25 Jun 2015


Paulo De Souza Junior
Paulo.Desouza@data61.csiro.au

Honey bee foraging behaviour Insect flight behaviour Agent-based modelling Ecological modelling Radio frequency identification on bees Swarm sensing


The data used to develop and evaluate the model came from two sources: 1. South Esk Modelling output (L&W); 2. RFID experiments with bees (Geeveston Experiment) - Data61. Two data sets are provided in the "FIles" tab: - The first is entitled MicroCoSM1.zip and includes a Model Description, a User Guide and a Unit Testing Regime for the python version of the Swarm Sensing Model (MicroCoSM1), together with all of the python code. - The second is entitled BeeFlightSim.zip and includes a re-implementation of the Insect Flight Simulator in the specialised agent-based modelling language NetLogo, together with a User Guide.


Raymond Williams, Paulo de Souza, Stephen Quarrell, Setia Budi, Ferry Susanto, Benita Vincenta, Geoff Allen, Auro Almeida, Dale Worledge, Leandro Disiuta, Pascal Hirsch, Gustavo Pessin, Helder Arruda, Peter Marendy, Leon dos Santos, Thomas Gillard, Andojo Ongjodjojo Ong


CSIRO Open Source Software Licence (Based on MIT/BSD Open Source Licence)


CSIRO (Australia), University of Sydney (Australia), University of Tasmania (Australia), Vale Institute of Technology (Brazil), Victoria University (Australia)


Williams, Ray; De Souza Junior, Paulo (2016): Swarm Sensing Modelling. v2. CSIRO. Software Collection. https://doi.org/10.4225/08/57A7DE31147FA


All Rights (including copyright) CSIRO 2016.


The metadata and files (if any) are available to the public.

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Location Details

43°8′33.2196″ S


146°54′56.178″ E


WGS84


More about this Collection

ActivePython 2.7 from ActivePython distribution, netCDF4, Numpy and Scipy, Matplotlib and Mayavi, Tkinter,


Python 2.7


Windows 6


version 6.1.7601


About this Project

MicroSensing Technology & Systems


This project is about developing a microsensing platform of sub-mm size able to generate energy, stored it in micro-batteries, communicate data via antenna, sense data and be controlled by a clock and has a memory to store the information. As an initial demonstration of the capability to be offered we deployed electronic tags on bees and this data ... more


Paulo De Souza Junior


Modelling swarm sensing data ingestion and analysis and visualisation


The swarm sensing project is developing micro-sensing technologies to be deployed in large numbers in the environment. In preparation for the data availability, this model was developed to prepare an simulation environmental where data from micro-sensors can be ingested, analysed and visualised. As the project currently works with honey bees, an ag... more


Modelling


Ray Williams


Paulo De Souza Junior


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