Trollhättan AI-based Tree inventory
| Reference number | |
| Coordinator | Trollhättans kommun - Trollhättans stad Samhällsbyggnadsförvaltningen |
| Funding from Vinnova | SEK 600 000 |
| Project duration | November 2023 - October 2024 |
| Status | Completed |
| Venture | Learning and meeting places |
| Call | Start your AI journey: For organizational learning and practical use of artificial intelligence in municipalities and civil society in 2023 |
Important results from the project
TAI.TRÄ had the objective of using AI and machine learning to automate the municipality´s tree inventory by analyzing the information in existing data sources. The project created an AI model adapted to Trollhättan´s conditions including a useful AI analysis of the tree population. An AI-based tool that collect, analyze and visualize tree data from the municipality´s data sources have thus been developed. Through knowledge-enhancing workshops and seminars, the level of knowledge about AI and ML has been raised among a wide group of employees in the city planning process.
Expected long term effects
In addition to an important general increase in knowledge about AI among employees, an AI-based digital tool has been developed. This will most likely be used to inventory the city´s tree population and for green space planning. This in turn contributes to the fact that the composition of trees and vegetation can be adapted to contribute to greater resilience in a world with increased climate challenges. The tool also streamlines the work with the tree inventory and saves time and money. The hope is also to be able to apply the new knowledge within other municipal areas of responsibility.
Approach and implementation
Identification and requirements of the tree data (training data) to be used. Evaluation of data sources. Identify which tools and knowledge were needed to carry out the data analysis. Adaptation of data, cleaning and processing so that it fits the selected ML- technique. Implement a neural network (CNN), train and also adapt the model for future data sets. Technical handover to the city in a workshop.