Pilot description
Pilot start date: May, 2024
The City of Bochum currently uses 5 sensors from trees to monitor resistivity, temperature, humidity, and other weather data. The team wants firstly to have a system that visualises this data in real time and additionally to create a Machine Learning model that considers the data and, by combining them with additional soil moisture sensors, predicts the health of Bochum's trees.
- Data used: Data retrieved from sensors in trees (eg. temperature, resistivity, humidity) along with additional weather data
Addressed use cases:
- Predictive analysis
- Time-series analysis
- IoT & Smart City
- Data Analysis and Visualisation