NOTE: These setup instructions are based on macOS. Commands may differ for other operating systems.

This ESPHome configuration runs on an ESP32 (M5Stack Atom) to monitor soil moisture, temperature, light, and conductivity using Xiaomi Mi Flora sensors. It provides real-time updates via Slack notifications and includes a web server for remote access.

• Soil monitoring: Tracks moisture, temperature, light, and conductivity for multiple plants.
• Automated alerts: Sends Slack notifications when a plant needs watering (below 19.5% moisture) and when it recovers (above 25% moisture). Can be set up for each flower separately.
• Debounced notifications: Prevents excessive messages by introducing a 10-second delay before confirming moisture changes.
• State tracking: Uses internal flags to ensure each notification is sent only once per watering cycle.
• Scheduled reports: Posts a summary of sensor readings every Monday and Thursday at 10 AM.
• Button-triggered updates: A physical button press sends an instant plant status report.
• Status LED feedback: Indicates successful or failed Slack message delivery.
• Web server access: View real-time sensor data through a simple web interface.

• ESP32 (M5Stack Atom)
• Xiaomi Mi Flora Sensors
• Wi-Fi Connectivity with fallback AP mode

This project is designed to automate plant care by providing timely insights into soil conditions and reducing manual watering guesswork.

1. Find the Serial Port Identify the ESP32’s serial port by running:

ls /dev/cu.*

Example output:

/dev/cu.Bluetooth-Incoming-Port /dev/cu.debug-console           /dev/cu.usbserial-0000000000

2. Detect Sensor MAC Addresses Each Xiaomi Mi Flora sensor has a unique MAC address. Detect them one by one using sensor_address_detection.yaml:

esphome run sensor_address_detection.yaml

3. Configure secrets.yaml

• Copy secrets_template.yaml to secrets.yaml.
• Fill in your Wi-Fi password, Slack webhook URL, and the MAC addresses of each sensor.

4. Compile and Upload the Configuration Once everything is set, compile and upload the ESPHome configuration:

esphome run config.yaml

5. Monitor the Web Interface You can monitor the metrics using a webserver. It can be accessed by <name>.local. You need to be connected to the same wifi as the esp32 controller.

NOTE: The ESP32 must be plugged into your computer during flashing. After flashing, it can run independently when connected to a power source.

• Debug notification frequency to avoid excessive messages.
• Compare memory efficiency between ESPHome and MicroPython. UPD: ESPHome should be more memory efficient.
• Scale the system to cover all office floors.
• Encapsulate IoT Wi-Fi connectivity by setting up a dedicated SSID or VLAN for ESP32 devices to improve security and stability.