Energy & Environment Policy Center
Ahead of the Storm: Strengthening CT’s Climate-Resilient Agricultural Advisories Through AI-Driven Forecasting
About Us
Connecticut has experienced a rapid acceleration in its oscillation between droughts and floods in the last decade, exacerbated by lackadaisical warning models and irrigation systems. This project will develop an AI predictive analysis model to forecast water stress during climate catastrophes as it pertains to agriculture using both publicly available databases and privately installed sensors. Finally, we will produce a tangible tool for farm-specific strategies with connections to real climatology research and local resources to develop CT’s crop yield.
Please contact sherry.huang@yale.edu with any questions!
