A large agricultural cooperative sought to improve crop yields and resource efficiency across member farms by adopting precision agriculture techniques, but lacked a unified platform to collect, analyze, and act upon field data.
We delivered an end-to-end IoT platform featuring LoRaWAN-connected field sensors, edge gateways for local data processing, and a cloud backend on Azure IoT for data storage and advanced analytics. AI/ML models were developed for yield prediction and resource optimization. A React-based mobile app provided farmers with dashboards, alerts, and remote control capabilities for irrigation systems.
Ensuring reliable sensor connectivity and data transmission from remote and often expansive farm areas.
Utilized LoRaWAN technology for long-range, low-power communication, complemented by mesh networking capabilities in denser sensor deployments.
Translating complex sensor data and AI model outputs into simple, actionable insights for farmers with varying technical literacy.
Focused on a user-centric design for the mobile app, with intuitive visualizations, clear alerts, and straightforward recommendations, validated through farmer feedback.
The Smart Agriculture IoT Platform, delivered under a Fixed Price agreement, enabled the cooperative to embrace precision farming, leading to significant improvements in productivity, resource efficiency, and sustainability.