This is like turning a farm into a ‘smart factory’ where tractors, drones and sensors constantly watch every plant and patch of soil, then an AI brain tells farmers exactly where to water, fertilize or spray — instead of treating the whole field the same.
Traditional farming treats large fields uniformly, wasting seed, fertilizer, chemicals, water and fuel, and relying heavily on gut feel. NC State’s AI-enabled precision agriculture tools use high‑tech sensing and analytics to manage crops at a fine-grained level, aiming to boost yields, cut inputs and labor, and reduce environmental impact.
Deep domain-specific agronomy expertise combined with long-term field trial data and integration with real farm equipment/sensors at scale on university research farms.
Hybrid
Time-Series DB
High (Custom Models/Infra)
High data volume and velocity from field sensors, drones and machinery; integration with heterogeneous farm equipment; and need for reliable connectivity in rural areas.
Early Majority
University-led, research-grade experimentation environment that can trial cutting-edge AI and sensing approaches before they are fully commercialized, then transfer them into industry tools and dealer ecosystems.