Ai-driven sustainable control technology for greenhouse management
InteliRain's AI-driven irrigation system optimizes water usage and enhances crop yields through advanced soil moisture management. Adaptable for greenhouse environments, it offers precise control with multi-spectral sensors and deep learning AI.
Overview
InteliRain has developed a cutting-edge AI-driven irrigation control system designed for efficient greenhouse management. By utilizing advanced multi-spectral sensors and deep learning AI, this technology enables precise geospatial control over irrigation. It significantly reduces water usage while improving crop yields and quality. The system divides large agricultural fields into thousands of zones, each uniquely monitored and managed for optimal soil moisture. This capability promises to revolutionize greenhouse operations by adapting the technology for controlled environments, enhancing plant health, crop density, and reducing the need for fertilizers and pesticides.
Technical specifications
- Multi-spectral sensors: These sensors provide real-time data on soil moisture levels across over 18,000 zones within a 160-acre field, allowing for precise irrigation management.
- Deep Learning AI: Analyzes sensor data to create tailored irrigation prescriptions for each zone, ensuring optimal water usage and plant health.
- Adaptability: Proven in field trials, the system demonstrated a 13% increase in potato yield and a 32% reduction in water usage. It is adaptable for greenhouse environments to further improve plant health and operational efficiency.
Technology readiness level
Currently at TRL 5, the technology has been validated in real-world field trials and is ready for adaptation to greenhouse control systems. Future collaborations aim to refine and enhance the system for specialized greenhouse applications.
About IntelinAir (Co-founder and Chief Scientist)
IntelinAir provides an agricultural analytics platform called AGMRI that utilizes aerial, satellite, and drone imagery combined with machine learning and computer vision to deliver actionable crop intelligence. Founded in 2014 by Al Eisaian and Chief Scientific Officer Naira Hovakimyan, the company processes high-resolution data to help users monitor field conditions, identify inconsistencies, and track crop health throughout the growing season. By leveraging expertise in neural networks and autonomous systems, the platform aims to provide comprehensive field views that enable proactive management of agronomic issues, ultimately supporting efforts to maximize yield potential and operational efficiency.
The service is primarily utilized by agricultural retailers and farmers to make data-driven decisions regarding fertilization, replanting, and overall field maintenance. By offering automated insights from before planting through harvest, the technology helps manage potential problems across large-scale operations. IntelinAir has been recognized for its impact in the ag-tech sector, including its growth within the University of Illinois Research Park and its ongoing efforts to provide scalable solutions that enhance profitability and sustainability in crop management.
delivered to your inbox.