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NIFA Adoption of Precision Agriculture program addresses implementation barriers in precision agriculture including site-specific management precision livestock farming and AI-enabled sensing and information technologies. The program funds research and extension projects that help producers overcome the three main obstacles to precision agriculture adoption: initial cost uncertain economic returns and technology complexity.
The program particularly emphasizes support for small- and medium-sized producers who have distinct needs compared to large producers by encouraging knowledge-sharing to help them access technology benefits.
Funded projects include AI-powered crop monitoring soil health sensing remote sensing for crop stress detection autonomous robots for harvesting and targeted herbicide application weed detection algorithms combining computer vision with robotic sprayers and smart packaging systems for food safety. The program falls under Agriculture Systems and Technology and Advanced Technologies topics within NIFA competitive grant framework.
This is distinct from the USDA NIFA AFRI AI-Enabled Agricultural Science program which specifically funds data science and AI foundational research and from NSF AI-ENGAGE which funds international agricultural AI partnerships.
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Search similar grants →Based on current listing details, eligibility includes: U.S. universities colleges and research institutions. Projects should address precision agriculture adoption barriers for small and medium-sized producers. Check NIFA Notice of Funding Opportunities list at nifa.usda.gov/rfa-list for current solicitations under Precision Geospatial and Sensor Technologies Programs. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Individual awards typically range from $50,000 to $500,000 for competitive grants under the Precision Geospatial and Sensor Technologies Programs. Funding levels vary by fiscal year and program area. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
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Agriculture and Food Research Initiative (AFRI) Foundational and Applied Science Request for Applications (AI components) is sponsored by USDA National Institute of Food and Agriculture (NIFA). This program supports AI activities that advance the ability of computer systems to perform tasks traditionally requiring human intelligence within agriculture and the food supply chain. This includes machine learning, data visualization, natural language processing, intelligent decision support systems, and autonomous systems for agricultural and food production.
Women and Minorities in Science, Technology, Engineering, and Mathematics Fields Grant Program is sponsored by USDA National Institute of Food and Agriculture (NIFA). This competitive grants program supports research and extension projects designed to increase participation by rural women and minorities from rural areas in science, technology, engineering, and mathematics (STEM) fields. The program aims to develop a robust and diverse food and agricultural STEM workforce.
Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) Programs (USDA NIFA) is sponsored by USDA National Institute of Food and Agriculture (NIFA). The USDA SBIR and STTR programs offer competitively awarded grants to qualified small businesses for high-quality research related to important scientific problems and opportunities in agriculture that could lead to significant public benefits.
The FDT-BioTech program is a joint NSF NIH and FDA initiative that catalyzes biomedical technological innovation through foundational development of methods and algorithms relevant to digital twins and synthetic humans. The program supports inherently interdisciplinary research projects that underpin the mathematical and engineering foundations behind the development and use of digital twins and synthetic data in biomedical and healthcare applications with a particular focus on digital in silico models used in the evaluation of medical devices and to advance regulatory sciences. Priority research areas include computational representations of physiological systems verification validation and uncertainty quantification transferability and generalizability across populations ethics security and privacy considerations and validation mechanisms for digital twin models. The program incorporates AI and machine learning as key enabling technologies for creating responsive digital twin models. All proposals must address regulatory science benefits and ethical implications. This program is distinct from the NSF SCH Smart Health program which focuses broadly on AI for health research and from ARPA-H programs which target specific clinical applications.
NSF TechAccess AI-Ready America is a major new initiative to establish AI-ready Coordination Hubs in every U.S. state and territory to expand access to AI knowledge tools training and capacity building. Announced March 25 2026 the initiative is a joint effort of NSF USDA National Institute of Food and Agriculture (NIFA) Department of Labor and Small Business Administration (SBA). Each Hub will connect local partners and coordinate AI deployment scale proven approaches based on state and local priorities and address three key gaps: workforce AI literacy small business and local government AI adoption and hands-on learning pathways. Up to 56 Hubs will be funded at up to $1 million per year for three years selected through three rounds of competition. An informational webinar is scheduled for April 14 2026. This is distinct from NSF ExpandAI which focuses on institutional AI research capacity building and from NSF Expanding AI Career which targets skilled technical workforce opportunities.
NSF SaTC 2.0 (Security Privacy and Trust in Cyberspace) is the largest open solicitation for university-led cybersecurity research in the federal portfolio now expanded with AI security as an explicit priority area. The 2.0 reboot added generative AI security open-source software security quantum computing security and supply chain security as topics of interest addressing the bidirectional role of AI as both a cybersecurity threat and a defensive tool. Research awards support adversarial machine learning and attacks on AI systems AI weaponization against people information and systems privacy-preserving machine learning and responsible AI use for detecting and responding to cyber threats. The program funds three award types: Research awards up to $1.2M for four years Education awards up to $500K for three years and Seedling awards up to $300K for two years through Dear Colleague Letters. Proposals are accepted on a recurring annual basis with two windows per year. This is distinct from NSF CyberAICorps which focuses on scholarship and workforce development and from NSF AIMing which focuses on AI formal methods and mathematical reasoning.