UC Davis Researchers Using Artificial Intelligence to Address Food Insecurity


by Tiffany Dobbyn - August 25, 2021 -- FULL ARTICLE

There are many ways artificial intelligence makes day-to-day activities more efficient. Now a team of UC Davis researchers is working to find ways that AI technology may improve complex food systems and help communities plan for a more sustainable future.

Patrick Huber, a project scientist with the Food Systems Lab at UC Davis, is among the researchers working to develop an information system to build “smart foodsheds,” a linked network of datasets and people so local communities can track where crops are grown, processed and distributed. Huber says creating AI-enabled cyberinfrastructure could enhance food security in local regions and beyond.

JUST RELEASED: FSL White Paper "A New Era for Meat Processing in California?"


ANNOUNCEMENT: "Sustainability" to publish a special issue on "Smart and Connected Regional Food Systems"

Now accepting manuscript submissions. Deadline extended to October31, 2021.


The Food Systems Lab, directed by Dr. Thomas P. Tomich and housed in the Department of Environmental Science and Policy, has grown from our group's roots in sustainable sourcing and regional landscape assessment into a program on developing and improving the information management aspects of food system sustainability, in addition to continuing our core research areas. The primary focus of this cross-cutting informatics work is to improve how sustainability can be defined, measured, and operationalized by improving information management and connectivity among complex webs of challenges, data, and actors. 

Our work has four focus areas:

  1. Food supply chains
  2. Working landscapes
  3. Data curation, analytics, and visualization
  4. Community engagement and policy analysis.