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USDA AI Program is sponsored by U.S. Department of Agriculture (USDA). This federal program supports small businesses commercializing high-risk, high-reward technologies with significant commercial potential, particularly valuable for deep tech and AI innovations requiring significant development investment in agriculture and food production. The program funds innovative research and development.
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Artificial Intelligence | 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.
Building on a long history of artificial intelligence (AI) activities that span a realm of disciplines and program areas, NIFA seeks to catalyze efforts that harness the power of AI in applications throughout agriculture and the food supply chain.
The AI activities supported through a variety of NIFA programs advance the ability of computer systems to perform tasks that have traditionally required human intelligence, including machine learning, data visualization, natural language processing and interpretation, intelligent decision support systems, autonomous systems, and novel applications of these techniques to agriculture and food production.
Areas that NIFA currently funds AI research, education, and extension activities Agricultural systems and engineering: Systems for crop and soil monitoring are leveraging machine learning, remote sensing, satellite imagery, drones, and precision technologies for informed production and management.
Autonomous robots are being developed to perform previously labor-intensive tasks like harvesting crops in greater volumes and faster than traditional human laborers. Nano-based sensing mechanisms and smart sensors are being developed and evaluated for accurate, reliable and cost-effective early and rapid detection of pathogens, allergens, chemicals and contaminants in foods, plant and animal production systems, water and soil.
Natural resources and environment: Decision support tools and models are increasingly used in the assessment and development of new management practices and processes leading to substantial improvements in soil health (e.g., microbiome, water, nutrients, carbon, chemicals of environmental concern) and improved ecosystem services from agricultural production.
Economics and rural communities: Applications of AI are expanding in development of new models to assist farm, forest, and ranch managers in decision-making with appropriate scale management strategies and technologies to enhance economic efficiency and sustainability.
The contributions and impact of AI are being examined to understand agricultural market structure and performance; international trade; agricultural production and resource use; consumer behavior; food safety; food waste and loss; and farm labor and immigration and policy; agricultural policy design and impacts; technology development and adoption; and science and innovation policy.
Efforts are supported by AI to create and examine innovative approaches for advancing economic opportunities for rural entrepreneurs and communities. Agriculture and Food Research Initiative (AFRI) Foundational and Applied Science Request for Applications .
The subsections of the AFRI Foundational and Applied Science program that provide funding in AI are Agriculture Systems and Technology; Bioenergy, Natural Resources and Environment; Agricultural Economics and Rural Community program areas.
Page last updated: June 30, 2025 Special Research Grants Program for Aquaculture Research The Gus Schumacher Nutrition Incentive Program - Nutrition Incentive Program Beginning Farmer and Rancher Development Program NIFA Invests $300K in Response to Ice Storm in the Upper Midwest NIFA Awards $2. 4M Through the Rural Health and Safety Education (RHSE) Program NIFA Awards $19.
8 Million Through the 2501 Program for Outreach and Assistance to Farmers and Ranchers Celebrating Extension Risk Management Education Program’s 25th Anniversary Strengthening Swine Safety: Federal and Industry Partners Take Action UGA's AgrAbility Delivers Adaptive Tools and Hope for Georgia Farmers Your feedback is important to us.
According to the current listing, eligibility includes: Qualified small businesses conducting research addressing important scientific challenges and opportunities in agriculture. Confirm the full requirements in the official notice before applying.
The current listing shows up to $500,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was June 30, 2025, which has passed. Check the official notice for any future application windows before investing time in a proposal.
USDA AI Program is funded by U.S. Department of Agriculture (USDA). Verify program details on the funder's official page before applying.
Yes — this listing is flagged as national in scope, so applicants across the U.S. may apply, subject to the sponsor's other eligibility criteria.
Applications go through the funder's official portal — the Apply Now link on this page goes there directly.
Past winners and funding trends for this program
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Read articleUSDA-FS-2026-CFP puts $4.95 million behind fee-simple forest acquisition, caps requests at $600,000, and requires a 50 percent non-federal match. But the deadline that will actually disqualify you is October 13 — the date your application must be in your State Forester's hands, two weeks before the Forest Service ever sees it.
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