Semios Automated Traps use image recognition to count and classify target insect species — codling moth, oriental fruit moth, leafroller — without manual checking, providing daily biofix and trap count data for precision spray timing. Microclimate sensors installed at 100-200 m intervals within orchards resolve intra-block temperature variation that causes frost pockets, allowing precision frost protection deployment. Disease models for fire blight, powdery mildew, and botrytis use on-site temperature and humidity data rather than regional weather-station estimates, significantly outperforming national weather service predictions. Growers report 25-40% reduction in pesticide applications through precision timing. Integration with Agrian and John Deere Operations Center exports spray records for compliance reporting.
IoT Product
Agriculture
Semios (Corteva Agriscience)
Semios deploys a LoRaWAN sensor network across orchards and vineyards to monitor temperature, humidity, and automated insect traps, providing hour-resolution pest and disease models to reduce pesticide applications.