Climate Control System for Hydroponics & Mushroom Farming

Climate Control System for Hydroponics & Mushroom Farming

Multi-location monitoring solution for agricultural environments

Client Overview

Our client specializes in hydroponic farming and mushroom cultivation, managing multiple growing chambers across various locations. They required a comprehensive solution to remotely control and monitor these environments. Their primary need was to set and regulate temperature, lighting, humidity, and motor operations, along with receiving data reports for analysis. Additionally, they wanted to extend the control system as a value-added service to their customers.

Challenge

Managing hydroponic and mushroom chambers across multiple locations presented several challenges:

  • Remote control of temperature, humidity, lighting, and motor operations.
  • Setting temperature cycles with customized time settings for different growth phases.
  • Real-time monitoring and data analysis to maintain optimal climate conditions.
  • Generating detailed reports on environmental conditions and equipment usage.
  • Allowing the client to offer this control system as a service to their customers.
  • Ensuring reliable connectivity across multiple locations with varying network conditions.

Solution

We developed an end-to-end remote control and monitoring system that addresses the client's needs. The system allows the client to control and monitor climate parameters for multiple chambers from a centralized platform.

Key Features

Remote Climate Control

Control temperature, humidity, lighting, and motor operations remotely from any location through a web-based dashboard or mobile app.

Automated Temperature Cycles

Set custom temperature cycles with variable time settings to accommodate different growth phases and cultivation requirements.

Multi-Location Management

Manage and control multiple chambers located in different regions through a single, intuitive interface with location-based grouping.

Real-Time Monitoring

Access live data feeds showing current conditions in each chamber, with customizable alerts for any parameters that fall outside the optimal range.

Data Logging & Analysis

Comprehensive data recording and visualization tools to track trends and optimize growing conditions over time.

Customer Access Portal

White-label solution allowing the client to offer controlled access to their customers, creating a new revenue stream.

Offline Functionality

Local control systems maintain operation even during connectivity issues, with data synchronization once connection is restored.

Customizable Reports

Generate detailed reports on environmental conditions, equipment performance, and harvest correlation data.

Technology Stack

AWS IoT React.js Python Flask PostgreSQL MQTT Grafana Raspberry Pi

IoT Platform: AWS IoT for seamless device connectivity and remote control.
Frontend: React.js for an interactive and user-friendly interface.
Backend: Python (Flask) for data processing and API management.
Database: PostgreSQL for storing temperature logs, settings, and user data.
Communication Protocol: MQTT for real-time data synchronization between the control system and devices.
Data Visualization: Grafana for advanced dashboard analytics and reporting.
Hardware: Raspberry Pi units with custom sensors for local control and data collection.

Impact

The implementation of the remote monitoring and control system brought significant improvements:

40% reduction in operational costs by eliminating the need for on-site staff to monitor and adjust climate controls.
25% increase in crop yield through more precise environmental control and data-driven optimization.
New revenue stream created by offering the control system as a value-added service to customers.
30% improved energy efficiency with optimized climate cycles and smart control algorithms.
Expanded growing capacity by enabling management of multiple remote locations without additional staff.

Conclusion

Our solution empowered the client to efficiently manage hydroponic and mushroom cultivation through remote control and data-driven decision-making. The implementation of this IoT-based system allowed them to scale operations across multiple locations while maintaining optimal growing conditions and reducing operational costs. By integrating automated climate control with comprehensive data analysis, the client achieved better control over their operations while expanding their service offerings to customers.