The U.S. Department of Agriculture's National Institute of Food and Agriculture (USDA NIFA) awarded a $150,000 project grant under the Capacity Building Grants for Non-Land Grant Colleges of Agriculture (CFDA 10.326) program. The grant will support Southern Illinois University's efforts to develop an advanced artificial intelligence (AI) system to rapidly and accurately detect the presence of Salmonella bacteria in onion samples. The project aims to create a quicker, more effective method for identifying Salmonella contamination in widely consumed food products, which can help improve food safety, reduce foodborne illnesses, and strengthen public health infrastructure. The grant funding will be used to nurture bacterial samples, capture microscopic images, and train deep learning models to detect Salmonella microcolonies. The university will also engage in educational activities, such as workshops and training sessions, to share this new AI-based food safety technology with industry stakeholders. This project has the potential to be applied to various food types and bacteria, transforming how food safety is ensured across the supply chain.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $150.0k | 8/3/24 |