Dr. Kaiyu Guan Explains the Science Behind His Study to Amber Bell on RealAgriculture
For the first time, a team of scientists demonstrated it is possible to provide accurate, high-resolution predictions of carbon cycles using Artificial Intelligence and supercomputers to measure the amount of Greenhouse Gas (GHG) emissions from every individual farm at the national scale. Led by University of Illinois Urbana-Champaign’s Agroecosystem Sustainability Center Founding Director and Blue Waters Professor Dr. Kaiyu Guan, this Breakthrough was funded by a 2020 FFAR Seeding Solutions Grant and a 2022 Food Shot Global Groundbreaker Prize, which FFAR partnered on. The study is a critical first step in developing a credible measurement, monitoring, reporting, and verification of agricultural emissions and can be used to incentivize the implementation of climate smart practices. The team’s research findings were recently published in Nature Communications, based on a visionary framework the team published in Earth-Science Reviews.
In this interview with RealAgriculture’s Amber Bell, Guan explains the science behind his research and how it could calculate national agricultural GHG emissions, as well as those from individual farms, which could allow producers access to funding or carbon credits down the road, he says.
Watch the interview.
About RealAgriculture
RealAgriculture started as a grassroots effort to provide farmers with a new way to access agricultural information. Today, it is the leading and only national agriculture publication in Canada.
More About Dr. Guan’s Research
New Study Shows AI & Supercomputing Can Quantify Greenhouse Gas Emissions from Individual Farms