Accessing the Fusion Platform® is made easy by using our Python SDK. With comprehensive documentation and examples, the SDK makes it easy to set up, execute, monitor and obtain the outputs from your processes. The SDK allows you to fully interact with the platform to enable you to gain the insights you need, when you need them.

The simplest way to interact with the Fusion Platform® is via our Python SDK, which allows you to manage your organisation and user account, upload and download data, and create, execute, monitor and control processes. We also offer a RESTful API if you would prefer handling the lower level detail yourself.

The SDK has been built for Python 3, and is tested against Python 3.8, 3.9, 3.10 and 3.11. To install the SDK into a suitable Python environment containing pip, execute the following:
pip install fusion-platform-python-sdk
To update an existing installation to the latest version, execute the following:
pip install fusion-platform-python-sdk --upgrade
To use the SDK, you will then need a valid account and associated organisation. If you want to try this out and do not have an account, please get in touch with us to discuss your requirements.

GitHub

View the full source code, examples and documentation for the SDK on GitHub. This also shows the release history (with tags) so that you can see what's changed in the latest version.

Python Package Index (PyPI)

The SDK is tested against Python versions 3.7, 3.8, 3.9 and 3.10 at every release to ensure compatibility. See the release history and other information on PyPI.

Detailed Documentation

The SDK includes a detailed user guide with examples. Further detail on every model, its properties and methods is also provided for in-depth usage.

Case Studies & News

Predicting Crop Yield

Forecasting wheat production months before harvest

A strong and stable agriculture sector is important at a national level as a source of food, and beneficial as a source of economic gain through exports. Early prediction of harvest yields at national and regional scales is therefore important as an influencer of commodity trading pricies, a means of ensuring adequate food supplies, managing logistics, and as a component of balance of trade. At a smaller scale, accurate estimates of likely yields allow farmers to better manage budgets, plan seed retention versus sales, assist with insurance cover judgements, and crop management decisions through the latter part of the growing season. Crop yield prediction is possible using remote sensing from satellite imagery, and accurate predictions of wheat yield are shown below to be possible months before harvest.

March 2022

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Environmental, Social and Governance: Mining Sector Faces the Show Me Test

Guest Expert on Financial Services Analytics: Gary McCarthy

Gary McCarthy, a Financial Services Industry expert, is currently doing some work with D-CAT. In this latest article Gary shares insights on the challenges facing the mining sector with a future dominated by climate and environmental emergencies.

August 2021

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Pollution Monitoring

Measuring Tropospheric Nitrogen Dioxide over Urban Areas

With the launch of ESA's Sentinel-5P satellite in 2017, it is now possible to monitor global atmospheric pollution on a daily basis, such as tropospheric concentrations of nitrogen dioxide, carbon monoxide, ozone, methane, sulphur dioxide, and formaldehyde. Taking advantage of this data, it is possible to produce temporal trends of pollution in cities and industrial areas, which can be used to understand movements of polluted air and possible risks for the population.

July 2021

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See Risk in a Very Different Way

Guest Expert on Financial Services Analytics: Gary McCarthy

Gary McCarthy, a Financial Services industry expert, is currently doing some work with us at D-CAT. In this article, Gary shares some telling insight on the challenges financial markets have in spotting real change.

June 2021

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Capabilities

Image Processing & Fusion

Specialist image analysis and data fusion

We go beyond standard approaches to extract greater value from imagery for our customers. Whatever the image waveband, type or quality, we have the understanding and experience to meet even the most demanding of requirements, whether through existing algorithms or new, bespoke solutions, we can tailor to price and performance demands. As image and data fusion experts, we also bring the ability to offer enhanced performance from multiple sensor sources, where available.

 

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Platforms & APIs

Robust cloud platforms and API solutions

Being able to extract insight from data is not enough to be useable by customers to solve their problems. Needed alongside clever algorithms is the ability to develop robust, secure and useable solutions which, for example, integrate with customer systems, or provide stand-alone systems which can be used by end users.

 

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Publications

Budykho, K., Boureanu, I., Wesemeyer, S., Romero, D., Lewis, M., Rahulan, Y., Rajaona, F. and Schneider, S. (2023) "Fine-Grained Trackability in Protocol Executions" Network and Distributed System Security (NDSS) Symposium 2023

Miller, R., Boureanu, I., Wesemeyer, S., Newton, C.J.P. (2022) "The 5G Key-Establishment Stack: In-Depth Formal Verification and Experimentation" Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security

Scarles, C., Treharne, H., Casey, M.C., Abidin, H.Z. (2020) "Micro-mobilities in Curated Spaces: Agency, Autonomy and Dwelling in Visitor Experiences of Augmented Reality in Arts and Heritage" Mobilities

Hickman, D.L., Smith, M.I., Lim, J., Jeon, Y. (2018) "Modelling of Celestial Backgrounds" Proceedings of SPIE 10641, Sensors and Systems for Space Applications XI

Al-Khalili, J., Smith, A., Sen, P. (2017) "Gravity and Me: the Force that Shapes our Lives" BBC 4 science programme using an iOS and Android app to measure local relativity effects

Treharne, H., Casey, M.C., Schneider, S., Wesemeyer, S., Ross, T., May, A., Blainey, S., Pritchard, J. (2016) "Integrating Data Sources to Enhance the Experience for Passengers with Special Needs and/or Disabilities through Privacy Aware Mobile Applications" Data to Improve the Customer Experience, RRUKA, 20/09/2016 Download

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