An innovative solution utilizing LoRaWAN infrastructure to manage greenhouses with low-cost sensors. Features include real-time data collection, AI-driven crop health analysis, and automated workflows, all designed for secure and resilient operations.
The low-cost intelligent greenhouse management system offers a transformative approach to modern agriculture by leveraging a LoRaWAN infrastructure. This solution integrates a suite of low-cost sensors, including cameras with AI models for crop health evaluation, as well as atmospheric and soil sensors for comprehensive environmental monitoring. The platform facilitates real-time data collection and analysis, empowering human decision-making and supporting automated workflows. Designed with robust security and resiliency features, the system ensures autonomous operation even when remote access is unavailable, making it highly reliable for continuous agricultural management.
Currently at TRL 4, this technology has been tested in a lab environment. Future validation will include training AI models with low-cost cameras tailored to different crops, defining system architecture, and developing a minimum viable product (MVP) for demonstration in a controlled test environment.
East Carolina University is a comprehensive public research university in eastern North Carolina, combining broad academic breadth with a strong public-service mission. Integration with a major regional health system and teaching hospital enables clinically grounded collaboration and faster translation. Coastal field sites provide Atlantic test beds, and shared core labs and prototyping spaces support scale-up and validation. The university engages industry through flexible contracting, sponsored research, and tailored workforce partnerships. Research is backed by competitive federal funding, including NIH, NSF, and DoD, with state and industry support, and a dedicated technology transfer office manages IP, licensing, and startup formation.