Smart Greenhouse Environmental Controller ODM Case Study: Embedded Linux Solutions for Agricultural Automation

As modern agriculture continues to adopt intelligent automation, greenhouse operators need reliable systems to monitor environmental conditions and manage equipment automatically.

For this project, the customer planned to develop a smart environmental controller for multi-span greenhouses, agricultural greenhouses, and indoor plant factories. The system needed to collect real-time environmental data, including temperature, humidity, light intensity, and CO₂ concentration, and automatically control ventilation fans, cooling pads, supplemental lighting, and other equipment.

However, the customer lacked the complete embedded hardware and software development capabilities required to bring the product to market.

To address these requirements, the project adopted an ODM development approach, covering custom embedded hardware, sensor interfaces, equipment control logic, remote communication, and system-level testing.

KICKPI’s embedded development capabilities provide a technical foundation for this type of customized agricultural automation solution.

1. Project Requirements: Smart Greenhouse Environmental Monitoring and Control

The target product was designed as an intelligent greenhouse environmental control terminal, integrating environmental monitoring, local operation, automated control, and remote management.

The main functional requirements included:

• Environmental Data Acquisition: Collect temperature, humidity, light intensity, and CO₂ concentration through multiple sensor interfaces.
• Local Configuration and Display: Allow operators to configure parameters, view system status, and receive alarms locally.
• Automated Equipment Control: Control ventilation fans, cooling pads, supplemental lighting, and other actuators based on configurable thresholds, schedules, and linked control conditions.
• Industrial Communication: Support RS485 and Modbus RTU, with optional Ethernet or Wi-Fi connectivity according to project requirements.
• Local Operation and Data Management: Maintain local control strategies and data records without depending entirely on network connectivity.
• Remote Management: Support remote parameter configuration and OTA firmware updates.
• Fault Detection: Identify sensor disconnections, communication timeouts, abnormal readings, and control output failures.

The system needed to maintain reliable local operation while supporting remote monitoring and configuration.

2. Hardware Architecture: Allwinner T113-Based Embedded Control Platform

The hardware architecture was designed around the Allwinner T113 processor, providing the embedded computing platform for environmental data processing, system management, and communication.

The overall architecture consists of several functional layers:

Environmental Sensing Layer

Temperature, humidity, light, and CO₂ sensors collect environmental information from the greenhouse.

Signal Acquisition and Protection Layer

Depending on the selected sensors, the system uses RS485, ADC, or GPIO interfaces. Signal conditioning, electrical isolation, filtering, and surge protection are evaluated according to the electrical characteristics and installation environment.

Embedded Computing Layer

The Allwinner T113 platform runs embedded Linux and handles sensor data processing, environmental strategy management, data logging, alarms, and network communication.

Equipment Control Layer

Control commands are transmitted to independent controllers or isolated driver circuits to operate ventilation fans, cooling pads, supplemental lighting, and other actuators.

For high-voltage or high-current loads, appropriately rated relays, contactors, or power driver circuits must be used. SoC GPIO pins should not directly drive these loads.

This layered architecture helps separate environmental monitoring, embedded computing, and equipment control, making the system easier to customize, maintain, and expand.

3. Key ODM Development Challenges

Developing a smart greenhouse controller involves more than connecting sensors to an embedded board. Sensor compatibility, control timing, and electrical reliability all influence the performance of the final product.

Challenge 1: Multi-Type Sensor Interfaces and Data Acquisition Accuracy

Different environmental sensors may use different electrical interfaces and communication methods, including:

• RS485 / Modbus RTU
• Analog voltage outputs
• 4–20 mA current-loop signals
• Digital sensor interfaces

The ODM development process must verify each sensor’s power requirements, measurement range, accuracy, output protocol, cable length, and operating environment.

Hardware Design

Analog inputs require appropriate current limiting, filtering, overvoltage protection, and signal conditioning. For long-distance RS485 communication, electrical isolation, termination resistors, and surge protection should be evaluated.

Driver Development

The software needs to support different sensor protocols and convert their readings into a unified data format, with configurable sampling intervals and standardized error codes.

Data Processing

The system must distinguish between actual environmental changes and abnormal sensor conditions, such as disconnected sensors, out-of-range readings, and communication timeouts. This prevents invalid data from triggering inappropriate equipment control.

Testing and Verification

Sensor acquisition accuracy should be verified at multiple measurement points using calibrated reference instruments or standard testing equipment.

Challenge 2: Environmental Automation Logic and Control Timing

Greenhouse automation requires coordinated control strategies rather than simple threshold-based switching.

For example:

• When the temperature exceeds a configured threshold, the ventilation system may be activated.
• When humidity rises above the target range, the system may activate designated ventilation or dehumidification equipment.
• When light intensity falls below the required level, supplemental lighting may be enabled.

Multiple control conditions may become active simultaneously, requiring clearly defined operating priorities and equipment interlocks.

The ODM development process needs to define:

• Activation and deactivation thresholds, including hysteresis settings.
• Equipment startup delays and minimum operating and shutdown durations.
• Interlocking conditions between different actuators.
• Priority levels for manual, automatic, and maintenance modes.
• Safe fallback behavior when sensor failures occur.

For functions requiring strict timing or safety-related control, an independent MCU or dedicated controller should handle critical operations. Ordinary Linux user-space processes should not be treated as hard real-time control systems.

Challenge 3: Electrical Interference in Agricultural Environments

Greenhouses often contain electric motors, long sensor cables, humid operating conditions, and potential lightning-induced surges.

These conditions can affect sensor readings, communication stability, and system operation.

The ODM hardware design and verification process should consider:

• Separation of high-voltage and low-voltage circuits.
• Grounding and electrical protection strategies.
• Protection for RS485, ADC, and GPIO interfaces.
• Power ripple and transient interference testing.
• Interference caused by actuator startup and shutdown.
• Electrical isolation for critical interfaces where necessary.
• PCB routing, connector selection, and cable harness design.

These measures help improve system stability in electrically demanding agricultural environments.

4. Embedded Software and System Functions

The embedded Linux software provides the central management layer for the greenhouse controller.

Its main responsibilities include:

Sensor Data Management

Collect and process environmental readings from different sensor interfaces, apply data validation, and maintain consistent data formats.

Environmental Strategy Management

Execute configurable control rules based on environmental thresholds, time schedules, and linked conditions.

Equipment Status Management

Monitor control commands and equipment feedback where available, helping identify abnormal operating conditions.

Alarm and Fault Management

Generate alarms for sensor disconnections, communication failures, abnormal environmental readings, and control output errors.

Local Data Logging

Store environmental records, system events, and configuration information locally.

Remote Communication and OTA

Provide optional Ethernet or Wi-Fi connectivity for remote configuration, monitoring, and firmware updates.

The software architecture should also support local operation when network connectivity is interrupted, ensuring that essential environmental control strategies can continue running independently.

5. System Testing and Acceptance Criteria

System-level verification is essential before the final product enters production.

The project acceptance process should cover the following areas:

Test Item	Acceptance Criteria
Sensor Integration	All specified sensors can be connected and read correctly.
Sampling Interval	Configurable sampling intervals according to project requirements.
Measurement Accuracy	Meets the accuracy requirements of the selected sensors and system.
Automated Control	Thresholds, hysteresis, delays, and interlocks operate as specified.
Offline Operation	Local control strategies continue running without network access.
Parameter Retention	Configuration settings remain correct after power interruption and restart.
Fault Detection	Sensor disconnections, communication timeouts, and abnormal readings are identified.
System Stability	Completes the agreed continuous operation and interference testing.

Additional verification may include power cycling, communication recovery, actuator switching tests, and long-duration operation under representative environmental conditions.

The exact testing duration, electrical immunity levels, and acceptance limits should be defined according to the final product specifications and operating environment.

6. Why Choose KICKPI for Embedded Controller ODM Development?

Developing an intelligent greenhouse controller requires coordinated hardware and software engineering, from initial architecture design to prototype validation and production preparation.

KICKPI provides customized embedded board development and ODM/OEM services for industrial and IoT applications.

Our development capabilities cover:

• Hardware Design: Customized processor platforms, PCB design, power management, sensor interfaces, and communication interfaces.
• Embedded Software Development: Embedded Linux, BSP adaptation, device driver development, and application-level software.
• System Integration: Sensor acquisition, equipment control interfaces, network communication, and system-level integration.
• Prototype Development: Functional prototype assembly, debugging, and performance verification.
• Production Support: Design optimization, validation, and preparation for mass production.

Whether you are developing a greenhouse automation terminal, an industrial monitoring device, or a customized IoT controller, KICKPI can help turn your product requirements into an embedded hardware and software solution.

7. Develop Your Custom Smart Greenhouse Controller with KICKPI

Planning an agricultural automation project?

If you need a customized embedded controller for greenhouse environmental monitoring, sensor integration, or automated equipment management, KICKPI can support your development process.

Share your processor preferences, sensor interfaces, control requirements, and expected production volume with our team.

Contact KICKPI to discuss your embedded controller ODM/OEM project.

Contact KICKPI