Ms. Lan Anh DINH

Lan Anh is a Ph.D. student at LERMA/Paris Observatory under the supervision of Filipe AIRES. She is working on crop yield simulation using statistical and machine learning models. In the first application, the main objective is to measure coffee sensitivity to weather conditions and develop the statistical yield models over the major coffee-producing countries. This work is done in collaboration with Eric RAHN from CIAT, who is co-funding the project. In a second application, similar statistical models are applied for crop yield forecasting over Europe (e.g., wheat, maize, oats). Several regularisation techniques and realistic assessment tools are considered to evaluate the true reliability of the models. Finally, the work will also aim to analyze the impact of climate change on crop yield and suggest strategies for adaptation.
See her LinkedIn Profile