Project Grant 20266702145863
- Federal Project Grant Award Summary Iowa State University of Science and Technology received a $400,000 Project Grant from the National Science Foundation's Office of International Science and Engineering (CFDA 47.079), awarded October 1, 2025, with a completion date of September 30, 2027. The AI-ENGAGE: BRIDGING GLOBAL KNOWLEDGE AND LOCAL NEEDS THROUGH AI FOR ENHANCED AGRICULTURAL PRODUCTION, SUSTAINABILITY AND RESILIENCY (BRIDGE) project develops artificial intelligence-based decision...
- Federal Grant Award Summary Iowa State University of Science and Technology received a $591,484 Project Grant from the U.S. Department of Agriculture's National Institute of Food and Agriculture under the Agriculture and Food Research Initiative (AFRI) program (CFDA 10.310), effective February 1, 2026 through January 31, 2029. The award supports research at the intersection of data science, artificial intelligence (AI), and agricultural sciences to advance genomic selection (GS) in crop...
- Federal Grant Award Summary Iowa State University of Science and Technology received a $297,515 Project Grant from the Institute of Bioenergy, Climate, and Environment (administered through the U.S. Department of Agriculture's Agriculture and Food Research Initiative [AFRI], CFDA 10.310) awarded May 1, 2026, with completion targeted for October 31, 2028. The project addresses fire blight disease management in Midwest apple and pear orchards through field-based research and economic analysis....
- Federal Project Grant Award Summary Iowa State University of Science and Technology received a $650,000 project grant award from the U.S. Department of Agriculture's National Institute of Food and Agriculture under the Agriculture and Food Research Initiative (AFRI) program (CFDA 10.310), effective March 1, 2026 through February 28, 2029. The award supports the development of artificial intelligence (AI)-powered software and data management tools designed to integrate large-scale genomic...
- Federal Grant Award Summary Utah State University received a $586,000 Project Grant from the Institute of Food Production and Sustainability under the Agriculture and Food Research Initiative (AFRI), CFDA 10.310, with an award date of January 1, 2026 and completion date of December 31, 2029. The project will develop and test an automated pest scouting system utilizing small aerial drones and ground-based robotic vehicles to collect close-up imagery within orchard tree canopies. Computer vision...
- Federal Grant Award Summary Iowa State University of Science and Technology received a $294,000 Project Grant from the U.S. Department of Agriculture's National Institute of Food and Agriculture under the Agriculture and Food Research Initiative (AFRI) program (CFDA 10.310), awarded August 1, 2025, with a completion date of July 31, 2028. The project addresses critical adoption barriers to precision livestock technologies in the swine industry by developing dedicated technology transfer...
- Federal Grant Award Summary Iowa State University of Science and Technology received a $650,000 project grant from the Institute of Food Production and Sustainability under the Biotechnology Risk Assessment Research (BRAG) Grants Program (CFDA 10.219), awarded September 15, 2025, with completion targeted for September 14, 2029. The university will conduct research to assess the prevalence and risk of Western corn rootworm populations exhibiting resistance to multiple Bacillus thuringiensis...
- This Project Grant award of $1,000,000 from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program aims to develop an automated pest management system for rural farms. The key products and services to be delivered include: Integrating artificial intelligence (AI), internet of things (IoT), machine learning, and affordable communication networks to reduce reliance on manual labor and outdated practices in pest management. This will enhance...
- The U.S. Department of Agriculture's (USDA) National Institute of Food and Agriculture (NIFA) awarded a $262,737.48 project grant to Colorado State University under the Agriculture and Food Research Initiative (AFRI) program. The goal of this 2-year project is to develop an AI-based decision support system that will allow farmers and other stakeholders to identify agricultural pests by uploading cellphone photos to a mobile application. This system will target pests of small grains in the Inland...
- Federal Grant Award Summary Iowa State University of Science and Technology received a $649,996 Project Grant from the U.S. Department of Agriculture's National Institute of Food and Agriculture under the Agriculture and Food Research Initiative (AFRI) program (CFDA 10.310), effective February 1, 2026 through January 31, 2029. The project delivers scientific research outputs addressing nitrogen (N) management in corn production across the U.S. Corn Belt. Specifically, the research measures...
Iowa State University of Science and Technology received a $727,888 Agriculture and Food Research Initiative (AFRI) project grant from the U.S. Department of Agriculture's Institute of Food Production and Sustainability, awarded February 1, 2026, with performance through January 31, 2029. This collaborative project, conducted in partnership with Oklahoma State University, integrates agricultural sciences with artificial intelligence and data science to develop an advanced integrated pest management (IPM) system. The primary deliverable is PestidBot, a multimodal, smartphone-enabled decision-support tool featuring image, video, audio, and text inputs alongside an interactive chatbot interface designed to facilitate informed IPM decision-making for growers and practitioners across the Midwest and South-Central United States. The project delivers three core components: (1) a comprehensive data collection campaign targeting major crop diseases, insect pests, and weeds to complement and expand existing public datasets; (2) trained and rigorously evaluated artificial intelligence models for pest, disease, and weed identification; and (3) integration of AI classification outputs with established pest monitoring systems, including the Midwest/Iowa Pest Alert Network and the Early Detection and Distribution Mapping System, along with a predictive model for forecasting key pest life stages. These deliverables directly support AFRI's priority areas by advancing agricultural stress phenotyping, strengthening pest and disease monitoring capabilities, and improving IPM decision-making processes for sustainable agricultural production.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $727.9k | 1/21/26 |