Nair, Shabarinath S
Bio
Shabarinath S Nair is a researcher with an expertise in using machine learning for agriculture applications.
He has developed country level in-season crop type detection models and scaled them across multiple regions.
He has worked on cloudy data reconstruction and phenological stage estimation and forecasting using deep learning techniques.
His research interests include domain transfer of crop type models under sparse label scenario.
and understanding causal effects of agricultural practices on different outcomes like yield and soil health.
His major works have been focussed on India, Africa and Ukraine
Degrees
Aerospace Engineering at NTU Singapore and TU-Munich Germany - MS
Aerospace Engineering at Amrita Coimbatore India - B.Tech
Areas of Interest
- Machine Learning
- Remote Sensing
- Sustainable Agriculture
- Domain Transfer and Low shot learning
- Causality