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The AFRI Data Science for Food and Agricultural Systems program (A1541 DSFAS) is USDA NIFA's primary AI and data science grant program for agriculture, funding research at the intersection of agricultural sciences and AI/ML, computer vision, decision support systems, autonomous farm systems, natural language processing, and intelligent sensor data integration.
Projects must be equally well-grounded in agricultural sciences and in data science or AI, requiring genuinely interdisciplinary teams. Research priorities include precision agriculture, crop and soil monitoring via remote sensing and drones, autonomous harvesting robots, AI-enabled livestock management, predictive yield modeling, supply chain analytics, food safety monitoring, and intelligent decision support for farm operations.
Awards include standard projects up to $650K total costs over five years, plus conference grants and FASE strengthening awards for institutions in EPSCoR jurisdictions and underrepresented institutions.
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Or search similar grants →According to the current listing, eligibility includes: Open to U.S. colleges and universities (including 1862, 1890, and 1994 Land-Grant Institutions), Hispanic-Serving Agricultural Colleges and Universities, public and nonprofit research institutions, federal agencies, and small businesses. International collaboration is permitted but the lead PI must be at a U.S. institution. Projects require interdisciplinary teams combining agricultural science domain expertise with computational and data science methodological rigor. Confirm the full requirements in the official notice before applying.
The current listing shows standard project grants are capped at $650,000 in total costs over up to five years. Program-wide funding has been approximately $7,000,000 to $7,600,000 annually in recent cycles. Conference grants and FASE (Food and Agricultural Sciences Enhancement) strengthening awards are also offered at smaller award sizes. Verify award ceilings, matching requirements, and allowable costs in the official notice.
USDA NIFA AFRI Data Science for Food and Agricultural Systems A1541 DSFAS for AI Machine Learning and Decision Support in Agriculture is funded by U.S. Department of Agriculture (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.
The Air Force Research Laboratory Information Directorate's Geospatial Intelligence Processing and Exploitation (GeoPEX) Broad Agency Announcement (FA8750-21-S-7006) is an open, two-step BAA funding research, development, integration, testing, and evaluation of technologies that enhance geospatial intelligence (GEOINT) capabilities for national security missions. Core technical areas emphasize artificial intelligence and machine learning techniques for full-spectrum GEOINT, automated multi-source data production, cloud-based high-performance computing, photogrammetry, and rapid exploitation of imagery and sensor data. The BAA carries an estimated total ceiling of approximately $99.9 million, with individual awards from roughly $250,000 to $10 million over performance periods up to 36 months. White papers are accepted on a rolling basis and the announcement remains open and effective through September 30, 2026.
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