https://github.com/markub3327/ai.ecosense

Automate your garden with machine learning, Arduino and Raspberry Pi.
https://github.com/markub3327/ai.ecosense

arduino bluetooth-low-energy docker forecasting garden gpio machine-learning plants pwm python raspberry-pi watering

Last synced: 10 months ago
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Automate your garden with machine learning, Arduino and Raspberry Pi.

• Host: GitHub
• URL: https://github.com/markub3327/ai.ecosense
• Owner: markub3327
• License: mit
• Created: 2021-07-24T12:02:09.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2025-08-12T17:15:44.000Z (11 months ago)
• Last Synced: 2025-08-27T13:33:07.567Z (10 months ago)
• Topics: arduino, bluetooth-low-energy, docker, forecasting, garden, gpio, machine-learning, plants, pwm, python, raspberry-pi, watering
• Language: C++
• Homepage:
• Size: 132 MB
• Stars: 4
• Watchers: 1
• Forks: 1
• Open Issues: 16
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

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README

          
# AI.EcoSense 🌿 Smart Home & Garden Automation System

[![Latest Release](https://img.shields.io/github/release/markub3327/AI.EcoSense)](https://github.com/markub3327/AI.EcoSense/releases)

[![Open Issues](https://img.shields.io/github/issues/markub3327/AI.EcoSense)](https://github.com/markub3327/AI.EcoSense/issues)

[![Weekly Commits](https://img.shields.io/github/commit-activity/w/markub3327/AI.EcoSense)](https://github.com/markub3327/AI.EcoSense)

[![Repository Size](https://img.shields.io/github/repo-size/markub3327/AI.EcoSense)](https://github.com/markub3327/AI.EcoSense)

## 🌱 Overview

AI.EcoSense is an open-source project designed to simplify garden care using Arduino Nano 33 BLE Sense and Raspberry Pi. The system automates plant watering, monitors environmental conditions, and provides real-time data visualization through a Dockerized environment.

## 🔧 System Architecture

| Component         | Specification                           |

|-------------------|-----------------------------------------|

| Operating System  | Raspbian 12 (bookworm)                  |

| Main Controllers  | • Raspberry Pi 4                        |

|                   | • Arduino Nano 33 BLE Sense rev2        |

| Communication     | NINA-B306 Bluetooth Module              |

| Sensors           | • HS3003 (Temperature & Humidity)       |

|                   | • LPS22HB (Barometric Pressure)         |

|                   | • Soil Moisture Sensors (8595193516237) |

## 📊 Features

### Environmental Monitoring

- Real-time temperature and humidity monitoring (HS3003)

- Barometric pressure tracking (LPS22HB)

- Soil moisture measurement

- Water level monitoring

### Smart Automation

- Automated watering system based on soil moisture

- BLE wireless communication

- Docker-based deployment

- Data visualization through Grafana dashboards

## 🐳 Software Stack

- InfluxDB for time-series data storage

- Grafana for data visualization

- Custom BLE gateway service

- Containerized deployment with Docker

## 🚀 Getting Started

1. Set up the hardware components

2. Deploy Docker services on Raspberry Pi

3. Configure the BLE gateway

4. Import Grafana dashboards

## 🤝 Contributing

Contributions are welcome! Please feel free to submit issues and pull requests.

## 📄 License

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