Artificial Intelligence Research Institutes

Artificial Intelligence Research Institutes is sponsored by USDA National Institute of Food and Agriculture (NIFA) / National Science Foundation (NSF). Jointly sponsored by NIFA, NSF, and other partner agencies, this program establishes AI Institutes to advance AI technologies. These institutes focus on applying AI to various agricultural challenges, including crop improvement, animal welfare, and labor shortages.

Artificial Intelligence (AI) Research Institutes | NIFA The lifecycle of grants and cooperative agreements consists of four phases: Pre-Award, Award, Post-Award, and Close Out. The National Institute of Food and Agriculture is committed to serving its stakeholders, Congress, and the public by using new technologies to advance greater openness.

The Data Gateway enables users to find funding data, metrics, and information about research, education, and Extension projects that have received grant awards from NIFA. This website houses a large volume of supporting materials. In this section, you can search the wide range of documents, videos, and other resources.

Technical Assistance Webinar: The Equipment Grants Program (EGP) The Equipment Grants Program seeks to provide eligible institutions with the opportunity to acquire a shared-use piece of equipment/instrument that supports their research, research training, and extension goals. The National Institute of Food and Agriculture provides leadership and funding for programs that advance agriculture-related sciences.

Artificial Intelligence (AI) Research Institutes Artificial Intelligence (AI) has advanced tremendously and today promises personalized healthcare; enhanced national security; improved transportation; more effective education, and precision agriculture, to name just a few benefits.

Development of AI technologies has the potential to improve commerce, manufacturing, logistics, medicine, and agriculture, so NIFA, NSF and other partner agencies are jointly sponsoring the AI Institutes program. “This major Federal investment in next generation agriculture signals our commitment to keeping American agricultural innovation on the leading edge of global science,” said USDA-NIFA Deputy Director Parag Chitnis.

“These future-focused centers of innovation will use the latest techniques from all corners of science to seek solutions for myriad challenges facing agriculture, from climate resilience to crop improvement and animal welfare to labor shortages and farm safety. ” (USDA-NIFA Associate Director Parag Chitnis).

By 2050, agriculture will need to produce 70% more food over current levels, while also reducing degrative impacts on the environment. Not only is the demand for food growing, so is agricultural system complexity. It is imperative that we have resilient and robust food systems that work across national and continental boundaries and meet climate-change goals.

Advancing and deploying new approaches and applications of AI is a natural extension to agricultural production and food security.

There are numerous opportunities to apply transformative, user-inclusive data-driven research methods and algorithm development to the food and agricultural sector to yield meaningful insights, predictive tools, and real-time solutions for production; food processing; transportation and storage; wholesale and retail marketing; and high-quality products and information for consumers.

Strategic use of AI throughout agriculture and food production systems may spur the next revolution in food and feed production. Food production has been greatly enhanced over the past several decades, resulting in greater food security, human health, employment, and overall quality of life; however, there have been unintended consequences impacting natural resource use, water and soil quality, and pest population expansion.

An AI-based approach to agriculture can go much further to address whole food systems, inputs and outputs, internal and external consequences, and issues and challenges at micro, meso, and macro scales that include meeting policy requirements for ecosystem health. There are critical challenges associated with the adoption of AI in agriculture. The success of AI will depend on engaging and connecting stakeholders.

Social engagement on the processes and products of AI will be critical for assessing social acceptance and implications of the rapid expansion of technology. While challenges in methods, data, privacy, and fairness are universal to the broader AI endeavor, these considerations take on particular urgency when associated with a need as fundamental as the food supply.

AI Research Institutes that simultaneously advance foundational AI research and agriculture and food systems might address a wide range of research foci, build new multidisciplinary communities, and create the workforce needed for an AI-powered revolution in agriculture. Dates may vary. Please see NOFO for exact details.

If you need a reasonable accommodation to access information related to this grant opportunity, please contact the Information Contact listed on this page no later than ten (10) days before the closing date. If you need a reasonable accommodation for the webinar or event related to this grant opportunity, please contact the event host.

NIFA offers language access services, such as interpretation and translation of vital information, free of charge. If you need interpretation or translation services, please visit NIFA Language Access Services and request service no later than ten (10) days before the closing date.

Other or Additional Information (See below) More Information on Eligibility Eligible applicants for the NIFA AI Institutes theme include: (1) State agricultural experiment stations; (2) Colleges and universities (including junior colleges offering associate degrees or higher); (3) University research foundations; (4) Other research institutions and organizations; (5) Federal agencies, (6) National laboratories; (7) Private organizations or corporations; (8) Individuals who are U.S. citizens, nationals, or permanent residents; and (9) any group consisting of two or more entities identified in (1) through (8).

Eligible institutions do not include foreign and international organizations. Thursday, October 7, 2021 grantapplicationquestions@usda. gov Preliminary Proposal Due Date(s) (required) (due by 5 p.

m. submitter's local time): Full Proposal Deadline(s) (due by 5 p. m.

submitter's local time): Funding Opportunity Number Assistance Listing Number Estimated Total Program Funding Cost Sharing or Matching Requirement Page last updated: November 13, 2025 Your feedback is important to us.