Advancing American Ag Through Scalable AI-Powered Solutions
DASH doesn’t stop at collecting data, we turn it into deployable intelligence
From handheld and unicycle-mounted configurations to fully integrated tractor systems, DASH’s modular camera platform (ModCam) delivers flexible, field-ready imaging across crops, environments, and production scales. Designed for adaptability, ModCam captures everything from single-plant detail to high-throughput, full-field datasets, producing consistent, structured data optimized for machine learning and advanced analytics.
Complementing ModCam, our robotic semi-field platform BenchBot serves as a high-throughput data engine, generating large volumes of standardized, high-resolution plant imagery across growth stages, environments, and management conditions. BenchBot directly addresses one of agriculture’s biggest barriers to innovation: access to reliable, scalable training data.
These data flow into the Agricultural Image Repository (AgIR), a growing, cloud-based library of curated agricultural imagery and metadata. Through a streamlined pipeline—capture, transfer, process, and annotate—raw imagery is transformed into clean, AI-ready datasets accessible to researchers, industry partners, and developers.
Together, this ecosystem forms a continuous innovation loop: BenchBot generates the data, AgIR structures and distributes it, and ModCam deploys resulting models back into real-world environments. The result is a scalable, end-to-end infrastructure that accelerates model development, improves field performance, and enables practical, data-driven decision tools for agriculture.
Watch a TED Talk below with Dr. Steven Mirsky about how USDA and DASH are poised to help speed the development of precision ag tech for American farmers and scientists.
