1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
This listing may be outdated. Verify details at the official source before applying.
Find similar grantsArtificial Intelligence Program is sponsored by USDA National Institute of Food and Agriculture (NIFA). Supports AI applications in agriculture, including machine learning, data visualization, and intelligent decision support systems.
Get a weekly digest of new grants like this
A free weekly digest of new foundation and federal funding opportunities as they're added to Granted. Unsubscribe anytime.
Or search similar grants →Extracted from the official opportunity page/RFP to help you evaluate fit faster.
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.
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.
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 Hispanic-Serving Institutions Education Grants Program Outreach and Assistance for Veteran Farmers and Ranchers Program Science, Technology, Engineering, and Mathematics Fields Program Alabama, Mississippi Extension Connect Students to Southern Agriculture NIFA Invests Nearly $600K in Response to Drought and Flood Events NIFA Invests Nearly $3.
4M in Response to Emerging and Re-emerging Pest and Disease Events Mizzou Researchers Discover Natural Replacement for Artificial Food Dyes Celebrating Extension Risk Management Education Program’s 25th Anniversary Strengthening Swine Safety: Federal and Industry Partners Take Action Your feedback is important to us.
According to the current listing, eligibility includes: Varies; check official notice for details. Confirm the full requirements in the official notice before applying.
Artificial Intelligence Program is funded by USDA National Institute of Food and Agriculture (NIFA). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Past winners and funding trends for this program
The Merck Stimulating Innovative Research Grant Program 2026 includes a dedicated grant topic for artificial intelligence in cell culture media and process development, offering up to EUR 150,000 per year for up to 3 years. The program accelerates innovation through collaborative research, early engagement with industry experts, and translation of novel ideas into practical solutions. In 2026, priority areas also include in-vitro models for neuroinflammatory diseases (EUR 250,000/year for 2 years) and innovative approaches to contaminated materials remediation (EUR 150,000/year for 2 years). The two-stage application process begins with non-confidential submissions, followed by deep-dive workshops where finalists collaborate with Merck scientists and managers to jointly optimize proposals. The AI-specific grant focuses on applying machine learning and AI to optimize cell culture media formulation, bioprocess parameter optimization, and manufacturing quality control.
NIST – Measurement Science and Engineering (MSE) Research Grant Programs 2025‑NIST‑MSE‑01 is sponsored by NIST. NIST – Measurement Science and Engineering (MSE) Research Grant Programs is a grant from the National Institute of Standards and Technology (NIST) that funds research and partnership activities in metrology, standards, nanotechnology, artificial intelligence, advanced communicat…
USDA-NIFA-HEP-011737 puts $14 million behind roughly 28 awards of up to $705,000 for graduate fellowships in food and agricultural sciences. No match is required. But two eligibility rules — the new-graduate-student definition and the citizenship requirement — disqualify most of the students a department would naturally nominate.
Read articleNIFA's Hispanic-Serving Institutions Education Grants Program (USDA-NIFA-HSI-011903) posted September 10, 2026 with $30.6 million, 40 anticipated awards, and a December 3 deadline. It uses the same 25 percent enrollment definition the Justice Department has declined to defend at the Department of Education. Here is the structure, the three grant types, and the caps that decide who wins.
Read articleNIFA's FY2026 Higher Education Challenge program closes October 15, 2026 with $5.7 million and roughly 18 awards. Standard grants cap at $150,000, Collaborative Type 1 at $300,000, and Collaborative Type 2 at $750,000 — all from the same pool, all scored against each other. No match is required. Here is how the tier structure actually determines your odds.
Read article