#46 Data analytics for structural fibre resources optimisation
Growth in demand to produce sawn timber products cannot be met if current practices continue.
On the one hand, the sector is being squeezed by increasing consumer demand. On the other hand, irreversible changes to the raw material, due to unforeseen climatic events and change in resources management, is challenging supply.
The main aim of this scoping study is to find promising avenues, through a data analytics approach, which will contribute to optimising the use of the timber resource and better meet the future needs of the building industry.
Date commenced and durationOctober 2021; 12 months
- Artificial Intelligence and Machine Learning
- User Interface, Visualisation and Analytics
Dr Ilankaikone Senthooran
Artificial Intelligence and Machine Learning
Dr Buser Say
User Interface, Visualisation and Analytics
Dr Barrett Ens
- Data Analytics
- Machine Learning