Using AI to create a knowledge bank of plants that benefit the environment
The RHS will use AI (artificial intelligence) to help build a knowledge bank of cultivated plants for specific uses, such as pollination, pollution capture and water management, as it launches a new five-year programme of work to commence in 2025
Plants for Purpose will see the RHS work in collaboration with the University of Nottingham to develop a deep learning tool that will identify characteristics among the more than 400,000 different plant cultivars found in the UK that RHS and wider industry research has shown to be beneficial. (Deep learning is a method in AI that teaches computers to process data in a way that is inspired by the human brain.)
For example, RHS research has previously revealed that rough surfaced leaves are most adept at capturing particulate pollution. Machine learning techniques that reliably quantify texture can be used to identify specimens from the RHS Herbarium – a vast collection of dried plant specimens – with hairs and scales. These plants’ trait matches will be cross checked by botanists and horticultural scientists and definitive guides will be published over the course of the next five years.
AI to feature at RHS Chelsea 2025
- Plants for Purpose is part funded by The Royal Commission for the exhibition of 1851
- For more information, images or interviews please contact the RHS press office [email protected]