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NIFA Artificial Intelligence (AI) Research Institutes is sponsored by National Institute of Food and Agriculture (NIFA). Supports AI research institutes focusing on applications in agriculture and biotechnology.
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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.
Veterinary Services Grant Program Technical Assistance Webinar NIFA staff will hold a Technical Assistance Webinar to discuss the Veterinary Services Grant Program (VSGP) Notice of Funding Opportunity. 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.
Based on current listing details, eligibility includes: Academic institutions, nonprofit organizations, and industry partners. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Varies by award Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
Community Food Projects Competitive Grants Program (CFPCGP) is sponsored by U.S. Department of Agriculture (USDA) National Institute of Food and Agriculture (NIFA). This program awards grants to eligible nonprofits, tribal organizations, and food program service providers to promote self-sufficiency and increase food security in low-income communities by developing comprehensive, community-based solutions. Projects should address food and nutrition security, particularly among historically ignored communities, and include food-insecure community members in planning, designing, development, implementation, and evaluation. Grants require a dollar-for-dollar (1:1) match in resources.
Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) Programs (USDA NIFA) is sponsored by U.S. Department of Agriculture (USDA) National Institute of Food and Agriculture (NIFA). The USDA SBIR/STTR programs offer grants for small businesses to conduct high-quality research related to important scientific problems and opportunities in agriculture, with an emphasis on transforming scientific discovery into commercial products and services. This includes advanced technologies and software solutions relevant to agriculture. The FY 2025 Phase I funding opportunity has a closing date of September 17, 2024.
Small Business Innovation Research (SBIR) / Small Business Technology Transfer (STTR) Programs (Phase I) is sponsored by U.S. Department of Agriculture (USDA) National Institute of Food and Agriculture (NIFA). The USDA SBIR/STTR programs focus on transforming scientific discovery into products and services with commercial potential and/or societal benefit in agriculturally-related areas. This can include app development for agricultural technology, rural development, and smart farming. Phase I aims to demonstrate technical feasibility.