Every agricultural operation has unique visual patterns—your tomato varieties ripen differently than your neighbor's, your apples have distinct defect signatures, and your packing line faces specific lighting challenges. This presentation demonstrates how custom-trained computer vision models built on your data can achieve 95%+ accuracy in harvest timing, yield estimation, and quality grading, compared to 70-80% with generic solutions. We'll explore how modern no-code vision AI platforms enable agricultural operations to annotate images with AI-assisted tools, train models without coding, and deploy to edge devices in weeks, not months. Learn the fundamental approaches to ripeness detection using color and texture analysis, yield prediction through object detection, classification and counting, and automated grading based on size, shape, and defect identification. Attendees will understand why models trained on your specific varieties, lighting conditions, and quality standards outperform generic solutions, with practical guidance on data requirements, deployment options, and typical ROI based on industry benchmarks.
Speaker
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Brandon Neustadter
Vice President of Sales
Datature (United States) |
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Brandon Neustadter brings over 20 years of enterprise technology leadership to computer vision implementations, specializing in transforming AI concepts into measurable business outcomes. As VP of Sales at Datature, he has guided dozens of organizations—from precision agriculture startups to Fortune 500 manufacturers—through successful vision AI deployments that achieve documented results. His expertise centers on identifying where computer vision delivers immediate operational impact while aligning cross-functional stakeholders to ensure projects meet both technical specifications and strategic objectives. Through a systematic approach encompassing opportunity assessment, pilot implementation, and scaled deployment, Brandon has helped agricultural enterprises implement vision AI for precision weed spraying, yield estimation for large-scale growers, crop readiness assessment, and post-harvest fruit grading—building sustainable automation frameworks that adapt to the evolving needs of modern agriculture.
Event Details
FORMAT: Oral presentation followed by audience Q&A.
MENU: Coffee, decaf, and tea will be available nearby.
SETUP: Theater seating.
