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Built for growers. Powered by AI.
EarthMetric’s AI-driven crop models generate field-specific predictions using six core inputs—crop type, disease susceptibility, zip code, soil type, irrigation method, and planting date. Advanced machine learning algorithms dynamically integrate hyper-local weather data, soil profiles, and historical disease incidence to model irrigation requirements, pathogen risk probabilities, and nutrient optimization parameters in real time.
EarthMetric pairs its advanced crop models with a best-in-class IoT sensor network engineered for precision and reliability. Our in-field hardware combines high-resolution soil moisture probes, leaf wetness sensors, microclimate weather stations, and solar-powered data loggers into a unified system. Each device streams continuous measurements to the cloud via secure, low-power wireless networks, enabling real-time visibility into field conditions without manual intervention.
EarthMetric is built by a multidisciplinary team of agronomists, data scientists, hardware engineers, and growers with decades of combined experience developing and operating agricultural technologies at scale. Our team blends deep technical expertise in machine learning and IoT systems with firsthand operational knowledge of commercial farming.
Today, EarthMetric’s technologies are deployed across the United States, powering data-driven decisions on farms ranging from specialty crops to broadacre operations. This combination of domain expertise and real-world execution ensures that every solution we deliver is both technically advanced and practically proven in the field.