AI-Driven Smart Farming

Introduction

WG Tech is proud to introduce a new solution built on Microchip technology. AI-Driven Smart Farming using the Microchip WFI32E03PC (PIC32MZW1 Wi-Fi SoC) enables autonomous, secure and scalable agricultural operations through real-time monitoring and control of key parameters such as temperature, humidity, CO₂, soil pH and nutrient levels.

Built on a 32-bit Wi-Fi MCU with integrated connectivity and Trust&GO security, the system supports flexible sensor integration via UART, ADC, I²C and SPI interfaces.

It leverages edge intelligence for local decision-making, reducing latency and minimizing cloud dependency, while providing secure TLS-based communication with cloud platforms such as AWS IoT Core for remote monitoring and control.

Design Benefits

• 32-bit Wi-Fi MCU with integrated antenna and Trust&GO provisioning simplifies secure design and reduces certification effort.
• Multi-interface support (UART, I²C, SPI, ADC) with RS485/SPI networking enables seamless sensor integration and scalable multi-node deployments.
• Pre-provisioned secure element enables TLS-based secure communication with AWS IoT, eliminating complex key management.
• Edge AI-enabled control processes data locally for real-time decision-making, reducing latency and cloud dependency.
• Low-power optimized design improves energy efficiency for long-term, reliable field deployments.

Key Features

• MCU with 2MB Flash and 640KB RAM, enabling efficient firmware execution and robust data handling.
• Developed using MPLAB X IDE and MPLAB Harmony Framework, providing structured firmware architecture, driver abstraction and faster peripheral integration.
• Supports industrial-grade environmental sensing using RS485, ADC, I²C, SPI and UART interfaces, enabling integration of temperature, humidity, CO₂, pH and TDS sensors.
• Integrates ATECC608 Trust&GO secure element enabling secure TLS-based MQTT communication with AWS IoT Core, supporting real-time monitoring, mobile/web dashboard access and instant alerts.
• Supports integration of high-accuracy calibrated environmental sensors, creating stable long-term performance for critical measurements.
• Supports control of up to six high-power appliances (up to 7.5 kW each) through relay/driver interfaces for automation of pumps, heaters, fans and humidifiers.
• Embedded AI-based analytics engine performs real-time anomaly detection and environmental pattern recognition, reducing cloud dependency for data processing.
• Designed for industrial deployment with power management and watchdog supervision, providing reliable operation.

Hardware Details

Applications

• Indoor Mushroom Farms – Automated temperature, humidity and CO₂ control.
• Hydroponics Farming – pH and TDS monitoring with automated nutrient dosing.
• Greenhouses – Climate regulation using fans, heaters, misting, shading and CO₂ control.
• Aquaculture Systems – Automated water quality management including aeration and filtration.
• Smart Irrigation and Fertigation – Soil or water-based irrigation with nutrient dosing.
• Indoor Horticulture/Plant Growth Labs – Controlled light, nutrients and environment for high-value crops.
• Vertical Farming Systems – Multi-layer indoor farming with precise control of lighting, nutrients, temperature and humidity for maximum yield in limited space.
• Post-Harvest Storage and Cold Rooms – Monitoring and control of temperature, humidity and CO₂ to extend shelf life and maintain crop quality.

Solution Diagram

Want More?

Check out our Smart Agriculture web page to learn more about how we’re driving smart farming operations. Visit WG Tech’s website to view more insights on Edge AI solutions and their real-world applications.