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Find similar grantsEncourages farmer and rancher-driven research and outreach to increase knowledge concerning agricultural production systems.
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Or search similar grants →According to the current listing, eligibility includes: Universities and research institutions. Confirm the full requirements in the official notice before applying.
NIFA Awards $45M to Support Sustainable Agriculture Research and Education is funded by USDA National Institute of Food and Agriculture (NIFA). Verify program details on the funder's official page before applying.
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Past winners and funding trends for this program
USDA NIFA's SBIR/STTR Phase I program is the principal non-dilutive federal funding channel for small businesses commercializing agricultural technology, and it has become a significant AI funding source without ever being branded as one. The program is organized into ten topic areas rather than a single AI call, which means applicants must locate their AI work inside an agricultural problem area - plant production and protection, animal production and protection, forests and related resources, food science and nutrition, rural and community development, aquaculture, biofuels and biobased products, small and mid-size farms, and agriculturally related manufacturing and alternative and renewable energy. In practice this structure rewards proposals framed around a specific production constraint rather than around a modeling technique. Machine learning for crop and soil monitoring from remote sensing, computer vision for pathogen and pest detection, autonomous harvesting and weeding robotics, decision-support and yield-prediction systems, and sensor fusion for livestock health all fit comfortably, but reviewers are agricultural scientists and commercialization specialists, not ML researchers, and proposals that lead with architecture rather than with the farm-level problem tend to score poorly. Phase I awards run from $125,000 to $181,500 for feasibility work, a range that has drifted upward in recent cycles, with Phase II available to successful Phase I awardees for full R&D. Eligibility is the standard SBIR profile: a for-profit small business concern qualifying for research or R&D purposes, US-based and majority US-owned; the STTR variant requires formal cooperative R&D with a nonprofit research institution, which is the natural route for teams spinning technology out of a land-grant university. Timing is the practical difficulty - NIFA has historically released the Phase I RFA around July with applications due roughly twelve weeks later in early October, but exact dates shift year to year and the FY2026 date was still pending at the time of review. Applicants should register on SAM.gov and Grants.gov well in advance and subscribe to Grants.gov alerts, since the release-to-deadline window is short for a program that expects a commercialization plan alongside the technical narrative.
The purpose of HEC, under assistance listing 10.217, is to strengthen institutional capacities, including curriculum, faculty, scientific instrumentation, and student recruitment and retention. The HEC program is focused on developing and improving formal master’s or doctorate degree-level food and agricultural sciences education and first professional degree-level education in veterinary medicine, such as a doctorate in veterinary medicine (DVM). Funding Opportunity Number: USDA-NIFA-CGP-011315. Assistance Listing: 10.217. Funding Instrument: G. Category: AG. Award Amount: $150K – $750K per award.
The purpose of the NNF program, Assistance Listing 10.210, is to provide funding to support new graduate (master’s, DVM, or doctoral) student training and completion of degree programs to develop human capital to participate in meeting the mission of the USDA to increase the pipeline of domestic agricultural students. The NNF program offers funding for eligible full-time students pursuing graduate studies at the master’s, DVM, or doctoral levels within the food and agricultural sciences. The NNF program awards institutional grants to offer funding for eligible full-time students pursuing graduate studies at the master’s, DVM, and/or doctoral levels within the food and agricultural sciences. Fellows must be new graduate students (‘new’ is defined in Part III A); and citizens, nationals, or permanent residents of the United States. Awards made by the NNF program are specifically intended to support graduate programs that engage outstanding students who are citizens, nationals, or permanent residents of the United States of America to pursue and complete their degrees in areas where there is a need for the development of scientific and professional expertise in the food and agricultural sciences. NNF awards invest in graduate training and relevant experiential learning for individuals who demonstrate their potential to successfully complete graduate degree programs in disciplines relevant to the mission of the USDA. Funding Opportunity Number: USDA-NIFA-HEP-011737. Assistance Listing: 10.210. Funding Instrument: G. Category: AG. Award Amount: $78K – $705K per award.
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.
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