AI-CLIMATE Institute

The USDA Ag Outlook Forum was filled with great conversations with USDA staff, agriculture leaders and innovative peers! We are grateful for the opportunity to share our cutting-edge work so that we can work together to leverage AI for a strong and resilient future for agriculture and forestry.

??Shawn Haag, AI-CLIMATE Institute executive director, was interviewed by the Red River Farm Network and USDA News while at the USDA Ag Outlook Forum https://lnkd.in/gdgjFd8R in Washington, DC. Listen to the RRFN interview https://lnkd.in/g9Pq72gj ??AI Institutes Virtual Organization (AIVO) ??AI Institute for Next Generation Food Systems (AIFS) ??AgAID Institute ??AIFARMS Center for Digital Agriculture ??AIIRA - AI Institute For Resilient Agriculture #agriculture #innovation #AgOutlook2025

Check out the interview on “Integrating AI Education Through Food Systems and Climate Change Curriculum" with Natalie McCaffery, MS student and graduate research assistant in the Department of Soil and Crop Sciences at Colorado State University.” Thank you AI Institutes Virtual Organization (AIVO) for the interview.

??Congratulations to Anil Jain, AI-CLIMATE Institute External Advisory Committee member, for receiving the Frontiers of Knowledge Award for his path-breaking research in biometrics and AI! Read about here https://lnkd.in/guDBuRbw Michigan State University University of Minnesota

Congratulations Professor Vipin Kumar!

Congrats Prof. Maria Gini!

A new study offers new insights into how alternating corn and soybean crops can help increase crop yield in a changing climate. Read more at https://lnkd.in/gtNB8BQq University of Minnesota // CFANS | U of M College of Food, Agricultural and Natural Resource Sciences // AI-CLIMATE Institute // National Science Foundation (NSF) // US Department of Agriculture (USDA) Agricultural Research Service (ARS) // Zhenong Jin // David Mulla

??A study by researchers at the University of Minnesota Twin Cities offers new insights into how alternating corn and soybean crops can help increase crop yield in a changing climate. The research project is supported by the National Science Foundation (NSF) Smart and Connected Community project and the USDA National Institute of Food and Agriculture AI-CLIMATE project. USDA, CFANS | U of M College of Food, Agricultural and Natural Resource Sciences, University of Minnesota, University of Minnesota Department of Computer Science & Engineering, Junxiong Zhou, Zhenong Jin, David Mulla, Shashi Shekhar, David Lobell

Lots of exciting ideas shared at this year’s Sustainable Agriculture Summit. I had the privilege of hosting a breakout session about the “Research Pipeline for Profitable, Climate-Smart Food Systems.” Key takeaways include the need for: 1) more field data that are accessible to researchers for calibrating greenhouse gas and soil carbon models; 2) quantifying uncertainty in models to better value agricultural carbon credits; 3) exploring new modeling techniques including the use of AI. Big shout out to Eric Coronel from Field to Market: The Alliance for Sustainable Agriculture, William Salas from Regrow Ag, Travis Breihan from Ecosystem Services Market Consortium (ESMC), and Vipin Kumar from AI-CLIMATE Institute for their insights.

Yesterday, I presented the preliminary findings of my current project with the AI-CLIMATE Institute at the Colorado State University annual GradShowcase. I am so honored to have received “Top Scholar of the College of Agricultural Science” for my presentation of “Integrating AI Education Through Food Systems and Climate Change Curriculum” For those of you who’ve known me since the beginning, this project is a full-circle moment for me. I got my start in the ag industry through my Girl Scouts of the USA Gold Award project, in which I taught a middle school AgTech curriculum and hosted a science museum event for Ag as the “A in STEAM”. I was fortunate enough to have great mentors who invested time and energy into me very early on. I went on to deliver a talk at the inaugural Women in Food and Agriculture summit in Amsterdam in 2019, I was 17 at the time. At that talk, I was offered my first job working in product development for Syngenta, where I joined the Farmshots team (now cropwise) and led the execution of a tool for spatial recognition of crop abnormalities. I’m now 22 and finishing the first semester of my master’s degree in Soil & Crop science, where I am learning about process-based modeling and developing KGMLs for agricultural decision-making. Early in my scientific career, I’ve been given the great opportunity of leading part of the broader impacts of a large project, combining my passion for AgTech and background in ag education.