This project is a fully automated AI-powered greenhouse control system built using the Elecrow ESP32-S3 Advance 7" Display Module. It combines real-time environmental monitoring, automated device control, and smart decision-making to maintain optimal conditions for plant growth.

With features like touchscreen control, Wi-Fi connectivity, and modular code design, this system makes it easy to manage your greenhouse from anywhere. It’s a great example of how modern microcontrollers can be used for smart farming and sustainable agriculture.

👉 Watch the full project demonstration here: https://www.youtube.com/watch?v=N3X396OGql4

🔧 Introduction, Features & Design

The core of this project is the Elecrow ESP32-S3 Advance 7", a powerful development board featuring:

• A 7-inch 800x480 capacitive touchscreen

• ESP32-S3-WROOM-1 with dual-core processor, Wi-Fi, Bluetooth 5.0, and AI acceleration

• Built-in speaker, microSD slot, USB-C, RGB LED, and buzzer

• Support for LoRa, LVGL, Arduino IDE, and ESP-IDF

This touchscreen not only displays the system dashboard but also provides direct interaction for controlling greenhouse operations.

🌿 Main Functions of the Greenhouse System

• Real-Time Monitoring
  The system displays live sensor data for:

  • Air humidity and temperature

  • Soil moisture

  • pH levels

  • Water tank level

     

• Automatic Actuator Control
  Based on sensor inputs, it automatically operates:

  • Drip irrigation pump

  • Misters

  • Exhaust fan

  • Grow lights

  • Water refill pump

• Manual Overrides & Touch UI
  Users can override automation and control each actuator directly using the touchscreen.

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• AI Integration
  AI logic (leveraging ESP32-S3’s AI acceleration) helps optimize irrigation and climate management based on trends and past behavior.

• Settings Panel
  A full-featured settings screen allows users to:

  • Configure Wi-Fi

  • Switch between auto/manual modes

  • Adjust automation thresholds

  • Save preferences

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• Future LoRa Expansion
  LoRa modules will soon allow wireless communication with remote sensors and actuators—ideal for large or distant greenhouses.

   

💻 Program and Code

The project is developed using the Arduino IDE, and the UI is built with the LVGL graphics library. The code is cleanly structured in modular files, separating:

• UI components

• Sensor handling

• Automation logic

• Device control

• Wi-Fi and settings management

This makes it easy to expand or customize the system for different greenhouse setups.

Some highlights of the programming approach include:

• Event-driven button handling for manual control

• Periodic sensor updates with data filtering

• EEPROM or SPIFFS for saving user preferences

• Use of timers for actuator cooldowns or cycling

• Planned integration of AI inference for smarter decisions

The code is fully commented and designed with clarity for both beginners and advanced users.

📹 Tutorials

A complete video walkthrough is available, showing:

• Hardware overview and connections

• How the touchscreen UI works

• Real-time sensor updates

• How automation reacts to data

• How the settings page functions

• What’s planned for LoRa and AI logic in future updates

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👉 Watch the project here: https://www.youtube.com/watch?v=N3X396OGql4

Future parts of the tutorial series will cover:

• Detailed explanation of each code module

• How to train and deploy AI logic on the ESP32-S3

• Connecting and communicating with LoRa devices

• Long-term data logging and remote access integration