Greenhouse Monitoring

A cloud-based (or local, non-cloud, non-internet option for grid-down scenarios) system to monitor and control a greenhouse environment using an ESP32 microcontroller, ESP32-CAM for video, Firebase for data storage and notifications, and a Flutter mobile app for a modern user interface.

Overview

This project creates a comprehensive greenhouse monitoring solution that tracks key environmental parameters and allows remote control via a mobile app. It features real-time sensor data (temperature, humidity, soil moisture, pH), relay-controlled devices (fan, vent, heater), and live video streaming, all presented in an aesthetic UI with graphs and customizable notifications.

Features

• Sensors: Ambient temperature/humidity (DHT22), soil moisture (capacitive sensor), soil pH (SEN0161), thermostat temperature (DS18B20).
• Controls: Fan, vent, and heater via relays.
• Video: Live feed from ESP32-CAM.
• Mobile App: Flutter-based UI with real-time data, time-series graphs, modern icons/fonts (Poppins, FontAwesome), and user-defined high/low threshold notifications.
• Cloud: HiveMQ MQTT for data transmission, Firebase Firestore for storage, and Firebase Cloud Messaging for alerts.

Architecture

• ESP32: Collects sensor data, controls relays, and publishes to MQTT.
• ESP32-CAM: Streams video over HTTP.
• Cloud: HiveMQ MQTT broker relays data; Firebase Cloud Functions sync MQTT to Firestore and trigger notifications.
• Flutter App: Pulls data from Firestore, displays graphs, and sends control commands.
• Offline Mode: User option to manage system locally, in the event of network failure scenario.

Project Structure

greenhouse-monitoring/
├── esp32-firmware/         # ESP32 sensor and control firmware (C++, PlatformIO)
├── esp32-cam-firmware/     # ESP32-CAM video streaming firmware (C++, PlatformIO)
├── cloud-functions/        # Firebase Cloud Functions (Node.js)
├── flutter-app/            # Flutter mobile app (Dart)
├── docs/                   # Documentation (wiring, architecture)
├── .gitignore              # Git ignore rules
├── README.md               # This file
└── LICENSE                 # MIT License

Prerequisites

• Hardware: ESP32 DevKit, ESP32-CAM (e.g., AI-Thinker), DHT22, capacitive soil moisture sensor, pH sensor (SEN0161), DS18B20, relays, Wi-Fi.
• Software: VS Code with PlatformIO extension (for ESP32 firmware), Node.js (for Firebase), Flutter SDK, Git.
• Services: HiveMQ Cloud account, Firebase project.

Setup Instructions

1. Clone the Repo:

   git clone https://github.com/secretengineer/Greenhouse-Tender-2.git
   cd greenhouse-monitoring

2. ESP32 Firmware:
   • Open esp32-firmware/ in VS Code with PlatformIO.
   • Configure include/config.h with WiFi and MQTT credentials.
   • See esp32-firmware/README.md for wiring and upload instructions.
3. ESP32-CAM Firmware:
   • Open esp32-cam-firmware/ in VS Code with PlatformIO.
   • Configure include/config.h with WiFi credentials.
   • See esp32-cam-firmware/README.md for wiring and upload instructions.
4. Cloud Functions: See cloud-functions/README.md for Firebase deployment.
5. Flutter App: See flutter-app/README.md for app setup and run commands.
6. Documentation: Check docs/ for wiring diagrams and architecture details.

Status

• Current Stage: Planning and initial code snippets completed (as of February 20, 2025).
• Next Steps: Implement and test ESP32 firmware, deploy Firebase functions, build Flutter UI.

Contributing

Feel free to fork, submit issues, or open pull requests. See individual component READMEs for specific contribution guidelines.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

Created by Pat Ryan - reach out via GitHub Issues for questions or feedback.