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NIFA Adoption of Precision Agriculture Competitive Grants for AI and Sensor Technology in Farming is a grant from the USDA National Institute of Food and Agriculture that funds research and outreach projects addressing barriers to precision agriculture adoption, particularly for small and medium-sized producers.
The program supports development and deployment of AI, sensor technologies, site-specific management systems, and precision livestock farming tools. Eligible applicants include U.S. universities, colleges, and research institutions. Individual competitive grant awards typically range from $50,000 to $500,000.
Projects should target the inconsistent adoption of precision technology in the agricultural community and propose practical solutions that support producers.
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Adoption of Precision Agriculture | 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.
Adoption of Precision Agriculture The greatest technology push has been in precision agriculture (i.e., site-specific management, SSM or precision livestock farming, PLF)—where sensing, information technologies, and mechanical systems enable individual animal or sub-field crop management.
Despite this push, implementation by the agricultural community has been inconsistent across commodities, although a large number of producers plan to adopt precision technology eventually. Most see initial cost, uncertain economic returns, and technology complexity as limiting factors.
Furthermore, in light of recent and anticipated regulatory requirements for nutrient release and water/air quality, many producers believe the environmental benefits of SSM might be the eventual driving force for technology adoption. Potential for improved animal welfare, productivity, and management cost savings may drive the field adoption of PLF technologies.
Nevertheless, small- and medium-sized producers have distinct needs compared to large producers. In high-volume agriculture, economies of scale and narrow profit margins provide an economic advantage to large producers. These characteristics of production agriculture suggest that most technological advances, including SSM and PLF, are not scale neutral.
One way for smaller producers to combat these competition trends is to create, or reach into, unique markets where their small size is an advantage. Value-added products expand the profit margin for producers who are positioned to provide enhanced value to consumers—which is more often the case for small producers who deal with small quantities of raw products and have more direct access to consumers.
In addition, smaller producers can become more competitive in a technology world by mitigating the barriers to adoption. By spreading the initial cost of technology over many producers and by sharing information about how to use the technology, smaller producers may have a better entrée into technology adoption and its benefits, which are currently held by large producers.
University extension programs provide valuable educational and application assistance to help producers become more familiar with, and use, new technologies.
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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. 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.
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.
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.
Agriculture and Food Research Initiative Competitive Grants Program Foundational and Applied Science Program is sponsored by USDA National Institute of Food and Agriculture (NIFA). This program supports grants in six AFRI priority areas to advance knowledge in both fundamental and applied sciences important to agriculture, including plant and animal health, food safety, bioenergy, natural resources, agriculture systems, and economics.