Using ARDC Nectar VMs, Jupyter Hub and GitHub to Deploy Agricultural Modelling Applications on the AgReFed Platform
Presentation
Gacenga, Francis and An-Vo, Duc-Anh. 2023. "Using ARDC Nectar VMs, Jupyter Hub and GitHub to Deploy Agricultural Modelling Applications on the AgReFed Platform." eResearch Australasia 2023 Conference. Brisbane, Australia 16 - 20 Oct 2023 Australia.
| Paper/Presentation Title | Using ARDC Nectar VMs, Jupyter Hub and GitHub to Deploy Agricultural Modelling Applications on the AgReFed Platform |
|---|---|
| Presentation Type | Presentation |
| Authors | Gacenga, Francis and An-Vo, Duc-Anh |
| Year | 2023 |
| Place of Publication | Australia |
| Web Address (URL) of Conference Proceedings | https://conference.eresearch.edu.au/program/ |
| Conference/Event | eResearch Australasia 2023 Conference |
| Event Details | eResearch Australasia 2023 Conference Delivery In person Event Date 16 to end of 20 Oct 2023 Event Location Brisbane, Australia Event Venue Brisbane Convention & Exhibition Centre Event Description eResearch 2023 will offer delegates the opportunity to engage, connect, and share their ideas and exemplars concerning new information-centric research capabilities, and how information and communication technologies help researchers to collaborate, collect, manage, share, process, analyse, store, find, understand and re-use information. Event Web Address (URL) |
| Abstract | In this half-day workshop participants will learn how to develop and use Jupyter Notebooks and Virtual Machines to run scientific workflows. We will demonstrate data integration workflow for Agricultural applications in Australia. The Agricultural Modelling notebooks here were developed for three applications presented in 3 separate user case notebooks: 1. Sowing date of wheat crop across the wheatbelt to achieve the best profit Participants will have a hands on session through these notebooks in the workshop to learn about how to analyse databases generated by Agricultural Models such as APSIM to support real decision making in agriculture. Other essential skills for agricultural researchers can also be learned such as data accessing using API, static and interactive mapping, and visualisation. Users of the AgReFed platform will be able to work with a production system simulation of their choice, allowing them to integrate with other data sources for decision analytics. The integration provides a unique capability of the AgReFed platform in crop modelling and simulations – a powerful tool for agricultural research. Users will be guided on how to put crop modelling and simulations into decision making frameworks, informing agricultural management decisions. |
| Keywords | Agriculture, Modelling, Virtual Machines, Jupyter Notebook |
| Contains Sensitive Content | Does not contain sensitive content |
| ANZSRC Field of Research 2020 | 300205. Agricultural production systems simulation |
| 460905. Information systems development methodologies and practice | |
| Public Notes | There are no files associated with this item. |
| Byline Affiliations | University of Southern Queensland |
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