Ai-driven computer vision solution for greenhouse monitoring using low-cost RGB cameras
AI-driven computer vision paired with low-cost RGB cameras enables efficient, affordable monitoring of plant health in greenhouses. The system supports early detection of health indicators and anomalies, helping enable timely interventions while reducing reliance on expensive monitoring setups. It targets plant health, growth, pest infestations, and key environmental conditions such as temperature and humidity, with real-time visualization via a web interface.
Overview
This solution leverages AI-driven computer vision combined with low-cost RGB cameras to enhance greenhouse management. By detecting plant health indicators and visual anomalies, it enables early interventions that can reduce crop loss and minimize the need for expensive monitoring systems. It is designed for small-scale and resource-limited farming contexts, providing a cost-effective approach to monitoring greenhouse conditions including plant health, growth rates, pest infestations, and environmental factors such as temperature and humidity.
Technical specifications
Key features:
- Utilizes affordable RGB cameras to capture high-resolution images of greenhouse environments
- AI-driven computer vision algorithms analyze visual data to detect anomalies and patterns
- Monitors plant health, growth, pest infestations, and environmental parameters
- Includes a user-friendly web interface for real-time data visualization and management
- Designed for easy integration and scalability across different greenhouse sizes and types
Technology readiness level
The solution is currently at a Technology Readiness Level (TRL) of 3, indicating validation in laboratory settings and early stages of development. Further validation is planned through testing in real greenhouse environments.
About South Dakota State University
South Dakota State University is a comprehensive public land‑grant research university serving a large statewide community. Industry engages through a university‑linked research and technology park that colocates tenant companies with faculty labs and pilot‑scale processing suites for de‑risking and demonstration. A statewide extension network and field sites provide real‑world environments for validation and market feedback, while shared‑use core facilities and tailored workforce pipelines connect talent and tools to corporate R&D. Research is supported by competitive federal funding from USDA and NSF, with additional awards from NIH and DOE, alongside state and industry partnerships. A dedicated technology transfer office manages IP and industry agreements, and incubator space at the research park supports startup formation and scale‑up.
delivered to your inbox.