
Ensure optimal greenhouse conditions with continuous data collection from advanced ambient sensors.
1. CO2, Temperature, Humidity Sensors – Track key environmental metrics in real time.
2. Instant Anomaly Detection – Identify irregularities before they impact plant growth.
3. Data-Driven Insights – Leverage AI-powered analytics for proactive decision-making.
Connect multiple greenhouse units through a centralized, cloud-integrated IIoT platform.
1. Centralized Data Gateway – Collect, process, and analyze data across all greenhouses.
2. Remote Monitoring – Manage greenhouse operations from any device, anywhere.
3. Secure Cloud Storage – Ensure safe and reliable data archiving for future analysis.
Utilize machine learning algorithms to optimize yield and prevent system failures.
1. Predict Crop Growth Trends – Analyze historical data for improved forecasting.
2. Preventative Maintenance Alerts – Receive AI-driven recommendations to avoid downtime.
3. Automated Climate Adjustments – AI optimizes conditions to maximize productivity.
Greenhouses are critical to controlled environment agriculture, but maintaining optimal conditions requires constant monitoring of key environmental parameters like:
Traditional greenhouse management relied on manual monitoring, which was time-consuming, error-prone, and inefficient. The lack of real-time data collection, automation, and AI-powered decision-making led to increased operational downtime and reduced productivity.
To overcome these challenges, VB Group’s Digital Transformation Division introduced an innovative, home-manufactured IIoT solution, designed to transform greenhouse maintenance into a fully automated, AI-driven process.