October 2022

Congratulations to Qinqing and Meijian for the publication of a highly interdisciplinary paper in AIES! It is an exemplary¬† collaboration between AI experts and process-based modelers to predict crop yield in the U.S. Corn Belt: “Machine learning crop yield models based on meteorological features and comparison with a process-based model”, Artificial Intelligence for Earth Systems, 1(4), https://doi.org/10.1175/AIES-D-22-0002.1

Meanwhile, our PNAS paper continues to garner media attention. Here is a comprehensive piece from the New York Public Radio: https://gothamist.com/news/a-plants-glow-can-predict-some-droughts-weeks-in-advance-uconn