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This listing may be outdated.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 grantsHigh-Performance Computing for Agricultural Research is sponsored by USDA Agricultural Research Service (ARS). This project focuses on supporting high-performance computing infrastructure for the analysis of big data in agricultural productivity, including geospatial statistics, bioinformatics, modeling, and AI/machine learning.
Get alerted about grants like this
Get emailed when new opportunities from “USDA Agricultural Research Service (ARS)” or related funders appear. Free, weekly, unsubscribe anytime.
Or search similar grants →According to the current listing, eligibility includes: Cooperative agreement with Mississippi State University, but indicates a need for HPC to advance agricultural research, suggesting future opportunities for collaboration or similar initiatives. Confirm the full requirements in the official notice before applying.
High-Performance Computing for Agricultural Research is funded by USDA Agricultural Research Service (ARS). Verify program details on the funder's official page before applying.
This opportunity targets applicants in Mississippi. If your organization operates elsewhere, check the official notice for location requirements.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Processing UAS Imagery with High-Performance Computing for Agricultural Research is sponsored by USDA Agricultural Research Service (ARS). This program supports the development of UAS image processing software compatible with ARS's high-performance computing infrastructure (SCINet). It aims to provide user-friendly access to computational resources for processing UAS imagery for agricultural research.
The USDA ARS AI Innovation Fund is an annual intramural funding program from the Agricultural Research Service's Artificial Intelligence Center of Excellence (AI-COE) that directly supports the development and adoption of AI and machine learning tools in agricultural research. The FY2026 cycle funded 4-6 proposals at up to $100,000 each. The program supports two primary categories of projects: (1) development or adaptation of AI/ML methods to help ARS scientists address agricultural research questions, and (2) creation of prototype digital products using AI/ML technologies for producers or agricultural researchers. Projects should utilize SCINet computing resources including the Ceres and Atlas high-performance computing clusters. Proposals are limited to 2 pages plus an abstract (maximum 1,500 characters), and funds must be spent or obligated by end of the fiscal year. The program represents USDA's commitment to integrating AI into agricultural research across areas including crop science, soil health monitoring, livestock management, pest detection, and climate-smart agriculture. While eligibility is limited to ARS scientists, the program produces open research outputs that benefit the broader agricultural AI community.
USDA NIFA's AFRI Strengthening Agricultural Systems program awards up to $10 million for integrated research, education, and extension projects. The letter of intent deadline is February 26, 2026.
Read articleWhile headlines chase AI and defense money, USDA's National Institute of Food and Agriculture runs a tight summer competitive cycle — Equipment Grants (June 25), Agricultural Genome to Phenome (June 29), New Beginning for Tribal Students (July 2), and Crop Protection and Pest Management (July 6). Here is how the four programs fit together, who is eligible, and why the land-grant system has a structural edge.
Read articleSecretary Rollins and NIFA opened the FY26 Research Facilities Act Program on June 15 with a four-tier award structure scaling from $100K planning grants to $30M facility complexes. The dollar-for-dollar cash match, the one-project-per-institution rule, and the 32-day application window are reshaping how land-grants will prioritize their long-deferred capital backlog.
Read article