Overview

Logiqal Space partnered with Brawn Bred, a forward-thinking indoor farming company, to design and implement a complete monitoring, control, and automation system. Our solution seamlessly integrates advanced sensor technologies, custom hardware, and smart software to create an intelligent environment where nearly 90% of operational tasks were automated. This groundbreaking system not only optimizes resource usage and enhances crop growth but also dramatically reduces labor requirements, cutting management labor costs by up to 60-70%.

The Challenge

Indoor farming presents a unique set of challenges:

• Complex Environmental Control: Maintaining ideal growing conditions requires continuous monitoring of multiple variables—temperature, humidity, AQI, CO2, oxygen, airflow, soil pH, soil moisture, light intensity (PAR, Lux), water pH, water temperature, water TDS, air pressure, energy consumption, and more.
• Rapid Response: Timely adjustments are critical. Manual monitoring is time-intensive and prone to delayed responses, especially when it comes to plant growth, pest, and disease management.
• Data Overload: With a vast array of data points being generated, extracting actionable insights in real time is essential for consistent yield and quality.
• Operational Efficiency: Brawn Bred aimed to reduce the daily on-site management workload from full-day shifts to just 6–8 hours, thereby lowering labor costs during critical growth phases.

Our Solution

At Logiqal Space, we developed a comprehensive, end-to-end automation system tailored for indoor farming. Our solution brings together state-of-the-art hardware, robust data analytics, and smart automation controls, ensuring that every aspect of the farming environment is optimally managed.

Key Components:

• Sensor-Driven Data Acquisition:
  • Environmental Sensors: Monitor temperature, humidity, air quality (AQI, CO2, oxygen, airflow), soil conditions (pH, moisture), water properties (pH, temperature, TDS), air pressure, and energy consumption.
  • Imaging Sensors: High-resolution cameras capture plant growth rates and enable pest and disease detection using computer vision.
  • Custom PCBs & IoT Devices: Our in-house designed hardware ensures reliable sensor integration and data collection across the entire facility.
• Advanced Control Algorithms & Custom Model Training:
  • Predictive Analytics: Custom-trained ML/DL models process sensor data in real time to detect anomalies, predict plant needs, and identify early signs of disease or pest infestation.
  • Automated Decision Making: Based on real-time data, the system initiates targeted actions—optimizing water usage, nutrient dosing, lighting, HVAC, and pest control measures.
• Unified Monitoring & Control Dashboard:
  • User-Friendly Interface: A centralized dashboard allows management to monitor every parameter, set custom automation rules, and manually override controls when needed.
  • Alerts & Notifications: The system sends immediate alerts with actionable insights if abnormal readings or potential issues are detected, ensuring that the team stays ahead of any challenges.

End-to-End System Flow

1. Data Capture & Collection:
   • Sensor Integration: Environmental and imaging sensors continuously capture a wide range of data points.
   • Real-Time Data Transmission: Custom PCBs and IoT devices securely send the collected data to our central server.
2. Data Processing & Analysis:
   • Centralized Analytics: The system processes incoming data using our proprietary ML/DL models.
   • Insight Generation: Automated algorithms analyze trends, detect anomalies, and predict plant needs.