Project title	Soil Conditions 3D and Time-lapse Visualisations
Project Description	Precision farming uses sensors and data analytics to improve knowledge of and response to local conditions in agriculture. Several projects collect electric resistivity data on a daily basis (and soon we will have 5 sites in Australia where this is done as part of the critical zone project). The time-lapse data we get are simple ascii files of voltage and electric current with a geometry of the electrodes used in the field. This file undergoes a data inversion with several iterations using a least mean squares algorithm. There are various software programs that can do that, including a Python based program called BERT. The code is freely available. BERT produces a data file which then needs to be loaded into a data visualization software. Work is in progress on an automated process for loading and processing data. The aim for the data visualisation part is to have resistivities converted to water contents and then visualised in a time-lapse video or similar with date and rainfall. The aim is to produce a software package that supports the whole workflow from data ingest to visualisation. The end-product would be for farmers, hydrologists, soil scientists and also for our teaching. The main datasets being produced are confidential due to the nature of their collaborators (Department of Water). However, there are existing data sets that could be used for setting up the whole application.The software should be able to run on a standard laptop and be platform independent as far as possible. The solution should be modular so that future projects can build on this platform. Data and user guidance for this system will be provided to the project team by the clients.
Client	Simone Gelsinari, UWA Engineering
Other Stakeholders	Sally Thompson, Simone Gelsinari, UWA Engineering Matthais Leopold, UWA Agriculture
Desirable Prior Experience	Data processing, Signal processing, Visualisation of 2D, 3D and time-varying data
Special Conditions	None
Intellectual Property	The IP exploitation model requested by the Client is: Creative Commons (open source)
Further Information	https://geoscienceletters.springeropen.com/articles/10.1186/s40562-022-00214-1
Version	CITS5206 12 July 2023