How Iowa State University’s Translational AI Center is feeding the future with generative AI and computer vision on AWS

This article describes how Iowa State University's Translational AI Center (TrAC) deployed PestID, an AI-powered pest and weed identification tool on AWS to help farmers make faster, more informed crop management decisions.

• PestID uses custom Vision Transformer models (InsectNet: 98.65% accuracy on 3,800 species; WeedNet: 92.6% accuracy on 1,500 species) trained on 60TB+ of image data
• Generative AI with Retrieval-Augmented Generation provides regionally contextualized pest management recommendations in 12+ languages
• Deployed on Amazon SageMaker for auto-scaling inference and Amazon Bedrock for RAG-powered guidance, eliminating concurrency and latency bottlenecks
• Pilot across ~1,000 Midwest farms achieved 1-2 second identification times, 30% pesticide reduction, and $5M+ estimated savings
• Planned expansion to Sub-Saharan Africa and South Asia with drone-based detection and plant disease coverage

The partnership demonstrates a scalable model for translating academic AI research into production-grade agricultural tools that reach global farming communities.