Rice arsenic contamination from a drone

Tianmei test flying a drone

We are researching the ability to measure and map arsenic levels in rice paddy using machine learning aided interpretation of high-resolution imagery captured by unmanned aircraft systems (UAS).

Avatar
Samuel N Araya
Postdoctoral Research Fellow

My research interests include soil science, machine learning and spatial analysis.