Freshid: machine learning tool for evaluating produce quality
FreshID leverages machine learning and multi-omics to develop a tool for assessing the freshness of fruits and vegetables, aiming to reduce waste and improve quality control in grocery environments.
Overview
FreshID is an innovative tool designed to enhance the quality control of fresh produce by using a combination of machine learning technologies and multi-omics. This solution addresses the challenge of deteriorating freshness in fruits and vegetables by providing a reliable, objective measure of produce quality. The FreshID tool will not only help in reducing food waste but also support the delivery of high-quality, nutritious produce to consumers, ultimately contributing to improved food security and human health.
Technical specifications
Key Features:
- Utilizes machine learning models to analyze genetic, proteomic, and biochemical indicators of produce freshness
- Integrates a cloud-based hyperspectral imaging (HSI) analysis model for real-time quality assessment
- Provides a user-friendly interface available on mobile and web platforms
- Offers real-time freshness scoring and shelf-life prediction capabilities
- Supports pilot testing in grocery store environments for practical application and feedback
Technology readiness level
The FreshID tool is currently at Technology Readiness Level 6. The tool has been developed and is in the process of being validated through lab and controlled testing. Upcoming grocery store pilots will further validate its effectiveness in real-world conditions. Collaborations with industry partners are sought for access to pilot environments and integration with existing systems.
About University of Florida
The University of Florida is a comprehensive public research university with a broad academic and research portfolio and a statewide presence. Industry collaborates through co-located labs and shared core facilities and through an integrated academic health system that accelerates clinical translation. A statewide extension network and multiple research and education sites connect companies with field-scale testing and rapid deployment, while incubators and an adjacent innovation district provide pathways from lab to market. Research is supported by competitive funding from major federal agencies such as NIH, NSF, USDA, and DOE. A dedicated technology transfer office supports IP, licensing, and startup formation.
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