Can AI Support Our City Trees in Changing Climate?
summary
Project named Quantified Trees uses soil moisture sensors at 30 60 and 90 cm and open datasets on 800,000 city trees plus radar rainfall and watering logs to predict tree stress, producing nowcasts and short term forecasts with a random forest model. About 100–150 sensors underpin the model so it generalizes watering need and flags that many mature trees receive 200–300 liters per tree routinely; an app with per-tree predictions and explanations is being deployed next year.
AI-written summary · about
chapters (4)
related talks
41mAbby Seneor | AI Track | Compass AI & Data Summit 2025
36mWatching Millions of Trees with Python: For Impact and Profit
48mTaking the planet’s pulse: AI to empower adaptation to global change
28mGeoAI: Evolution of AI-Based Tree/Vegetation Detection Models Using Imagery
27mSmart Forestry: AI in the Service of Nature
15mThe tech is there: society needs to step up
22mLet's Terminate Climate Change with AI
09mGen AI Workflows for Climate Risk Modeling in Food Systems