FAST-TrAC Industry Projects

FAST-TrAC projects showcase applied AI, analytics, automation, computer vision, and digital transformation collaborations with industry partners. These projects translate research expertise into practical solutions across agriculture, manufacturing, transportation, business analytics, and emerging AI systems.

25+
Projects
15+
Industry Partners
AI
Applied Research Focus
Detection and Counting of Corn Stalk Using Potentiometer Data
Company: Ag Leader Technology
Ag Leader Trench Camera Project Proposal
Company: Ag Leader Technology
Evaluating Feasibility of RAG-Augmented LLM Chatbot for Farmers Organic Agriculture Queries
Company: BDiB
Descriptive Analytics of Iowa Business Technology Recommendation Program
Company: CIRAS
AI and CV-ML Project Development
Company: CIRAS / Ag Leaders
Automation for Daily Order Specification Worksheet
Company: CIRAS / Assa Abloy
Project 1
Company: COLTIE, Inc
Batch Records to Data Automation
Company: Elanco US, Inc
Advanced Research in Federated Learning
Company: Hitachi
Evaluating AI Tools for Extractive Question Answering on Investment Portfolios
Company: IPERS
Machine Learning-Based Failure Prediction Using Internal Test and Routing Data
Company: Jabil
Language of Farming
Company: John Deere
Language of Farming, Phase 2
Company: John Deere
Mobile Crop Processing Sensor Training
Company: Digital Ag Innovation Lab
Projects for Integrating AI with Design
Company: Model Farm
Vision Model, Weather Condition Classification
Company: Pelmorex / Weather Source
Virtual TA
Company: Provost Keith
QC1 – Video-based Performance Evaluation at Signalized Intersections
Company: Quality Counts
QC2 – Automated Traffic Movement Counts Using Video Data
Company: Quality Counts
QC3 – Nighttime Vehicle Classification Proposal
Company: Quality Counts
QC1 – Trajectory Stitching and Real-Time Count Generation from Fragmented Video Tracks
Company: Quality Counts
QC2 – Exploratory Evaluation of LLM-Driven Insight Generation for QC Traffic Data
Company: Quality Counts
QC3 – Object Tracking, Implement Detection and Correction of False Object-Trajectory Connections
Company: Quality Counts
Image Detection and Classification for Cryo-EM Images
Company: S2Labs
Inverse Scientific Machine Learning: Automated Pipeline for Dataset Generation in the Cloud and Training Standard Scientific Machine Learning Models
Company: S2Labs
Project #2 Synthetic Crash Video Generation Platform
Company: Vaidio
Project #1 Open Access Traffic Video Repository & Scenario Sampling Platform
Company: Vaidio / Iron Yun