Ml-enabled platform for enhanced food safety using deep learning
An easy-to-use, expandable platform using deep learning to improve food safety by analyzing hyperspectral and NIR images. Designed for food scientists with basic training materials.
Overview
The ML-enabled platform is designed to improve food safety through advanced deep learning techniques. By leveraging machine learning models such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs), the platform analyzes hyperspectral and near-infrared (NIR) images along with other digital data. This solution empowers food scientists, even those without extensive data science training, to make informed decisions regarding food safety and quality.
Technical specifications
Key features:
- Utilizes deep learning models for image analysis, including CNNs and RNNs.
- Capable of processing large datasets from hyperspectral and NIR imaging.
- Provides a user-friendly interface with expandable capabilities.
- Includes basic training materials for ease of use by non-specialists.
- Supports classification, regression, and optimization tasks.
Technology readiness level
Currently at Technology Readiness Level 4, the platform has undergone initial testing with experimental validation expected through further development. The platform is in the stage of defining machine learning strategies and validating models with real-world datasets.
About University of Tennessee, Knoxville
The University of Tennessee, Knoxville is a comprehensive public land‑grant research university—the flagship of the UT System—classified as R1 and serving more than 40,000 students. Industry engagement is anchored by the UT Research Park at Cherokee Farm, where corporate R&D and joint university–national lab facilities sit just across the river from campus, including assets such as the Volkswagen Innovation Hub and an AT&T 5G testbed. UT’s long‑standing partnership with Oak Ridge National Laboratory—via UT‑Battelle and the UT–Oak Ridge Innovation Institute—gives companies streamlined access to national lab capabilities, talent, and joint programs. A statewide Extension network and established co‑op programs connect companies to faculty expertise and student talent across Tennessee and into federal labs. Research is supported by competitive federal sponsors such as the National Science Foundation and the U.S. Department of Energy. Commercialization is managed by the University of Tennessee Research Foundation, which handles IP, licensing, and startup formation.
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