Vertical Farming Twin
Summary
A leading vertical farming company located in New York sought to develop a suite of digital twin models representing various vertical farming environments, equipment, HVAC systems, and IoT integrations. Eartheon’s Digital Twins enabled real-time monitoring, analysis, control, and management at the tray level within their facilities. Our Process Twin consolidates live and contextual data from diverse sources, including IoT sensors, cameras, and existing databases, to create a dynamic monitoring and control system for the indoor farming environment.
Use Case
Real-time monitoring and control of indoor farming environments to optimize growth conditions and improve yield.
Climate Modeling and Predictive Analysis:
Digital twins can simulate different climate scenarios within the farming environment (indoor), predicting the impact of temperature, humidity, and light variations on crop yield. This allows for proactive adjustments to maintain optimal growing conditions.
Challenges
The vertical farming company in New York needed a solution to monitor and control environmental factors impacting crop yields, such as temperature, humidity, and lighting.
Outcome
Eartheon developed a suite of digital twin models to represent various farming environments, equipment, and systems, enabling real-time monitoring and control at the tray level.
Increased crop yield by 35%, reduced water consumption by 90% from the traditional method, and optimized energy use by 25%. Predictive analysis capabilities enabled proactive adjustments to growing conditions, resulting in a 30% reduction in crop loss and a 20% improvement in overall resource efficiency.
Impact
