Semios Uses Google Cloud IoT and Machine Learning to Optimize Agri-Food Production

Semios, a company specializing in high-value crop management like pistachios, apples, and almonds, sought to optimize resource usage such as water and pesticides while preparing for large sensor data growth in their crop fields. To address these challenges, Semios built a hybrid cloud platform combining on-premises infrastructure with Google Cloud Platform (GCP) IoT services. Sensors deployed in fields collect real-time data sent initially to internal infrastructure then forwarded to GCP, where analysis is conducted using Cloud Machine Learning Engine. This system enables scalable management and analysis of extensive sensor data from crop fields for optimized crop management and resource utilization.