Dr Richard Nair awarded SFI-Royal Society University research fellowship

Dr Richard Nair awarded SFI-Royal Society University research fellowship

RODEO: Root Dynamics for Ecosystem Observation is a SFI-Royal Society University research fellowship awarded to Dr Richard Nair. RODEO is an 8-year project where Richard and the interdisciplinary RODEO team will build on his previous work building instruments and AI methods to understand root phenology (seasonal cycles) and use this to understand the links between root and shoot phenology. Phenology is important because it affects how much CO2 is taken up by vegetation and thus how plant life can buffer climate change. But most phenology information is only above ground, so if the changing environment causes differences in root and leaf activity, we cannot understand this from above-ground observations only leading to uncertainty in future predictions. RODEO will allow the team to study the links between whole plant phenology and CO2 uptake and release under real field conditions, and help improve forecasts, adaptions, and management of climate change.

 

RootCheck: Image-Based Root Health Assessment Tools for Sustainable Agriculture

RootCheck is a SFI-funded National Challenge Fund project, led by Dr Richard Nair with co-PI Dr Saoirse Tracy at University College Dublin. Health and physiological syndromes can affect roots and leaves differently, but there are no tools to help assess root health under field conditions. Generally, roots are much more difficult to measure than leaves, but root health status may not be visible above-ground. RootCheck will develop new tools for rapid and non-destructive in-field assessment of root health status using a combination of cheap sensors and artificial intelligence methods. RootCheck will build an interdisciplinary team to approach this challenge with an end-user focus. The output of RootCheck will help ensure data parameterized agricultural systems, helping ensure long-term agricultural sustainability and productivity in uncertain future conditions.