AgAID Institute: Agricultural AI for Transforming Workforce and Decision Support

AI institute developing human-centered technologies to improve farm management, water use, labor systems, and agricultural decision support.

AgAID logo.

The AgAID Institute (Agricultural AI for Transforming Workforce and Decision Support) is a multi-institution research initiative focused on developing artificial intelligence technologies that support agricultural decision-making, workforce development, and long-term farm productivity. The institute brings together researchers, industry partners, and agricultural stakeholders to design AI systems that address complex challenges facing modern agriculture while maintaining a strong partnership between human expertise and machine intelligence.

AgAID research spans several integrated areas, including water intelligence, farm intelligence, labor intelligence, and foundational artificial intelligence methods. Projects focus on applications such as irrigation scheduling, water allocation and trading, frost mitigation, crop management, and harvest optimization. Researchers are also developing human-AI workflows that integrate farmer and worker knowledge into decision-support tools and agricultural automation systems.

Through interdisciplinary research, education, and outreach, AgAID aims to create practical AI tools that improve agricultural productivity, support farm workers, and help producers respond to changing environmental and economic conditions.

This work is supported by the U.S. Department of Agriculture National Institute of Food and Agriculture and the National Science Foundation through the AI Research Institutes program (Award No. 2021-67021-35344).

Explore AgAID website.

Products from this Project

People

Khot, L., Rajagopalan, K., Fern, A., Kalyanaraman, A., Burnett, M., Viers, J., Jobe, J., Swarup, S., Davidson, J., Karkee, M., Doppa, J., Adiga, A., Sallato-Carmona, B., Yorgey, G., Pesantez-Cabrera, P., Black, J., Medellín-Azuara, J., and Brady, M.

Project Dates

2021– 2026

Areas of Focus

  • Agricultural Technology
  • Research Engagement & Communication

Topics

  • Community Engaged Research
  • Production Systems

Project Status

In Progress

Collaborators

  • Carnegie Mellon University

Funding Sources