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Dr. Steven Mirsky of USDA's Agricultural Research Service (USDA-ARS) explains how the digital infrastructure behind artificial intelligence is being built today to power the future of agriculture. From computer vision and image repositories to BenchBot and the Digital Agricultural Systems Hub (DASH), he shares how researchers are creating the datasets, tools, and standards needed to train AI systems that can detect pests, diseases, crop stress, and other field conditions. Steven also discusses why collaboration across government, academia, and industry is essential to moving these innovations from research to real-world impact.
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