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Environmental Sensor Firmware (ESP32) Overview

This project is an ESP32 based environmental monitoring system that reads and processes data from multiple sensors to measure air, water, and soil conditions.

Features Air Temperature monitoring Humidity measurement pH sensing TDS measurement (manual potentiometer method) Liquid temperature monitoring Soil moisture detection Real time serial output Basic filtering and stable readings Hardware Used ESP32 MCU Temperature and Humidity Sensor pH Sensor Module TDS Sensor Module Water Temperature Sensor Soil Moisture Sensor Working Principle

The firmware initializes all sensors, reads raw data from analog and digital inputs, processes the values using filtering and calibration, and outputs stable readings via serial communication for monitoring.

Pin Configuration (Example) Sensor ESP32 Pin pH Sensor GPIO36 TDS Sensor GPIO39 Sensor Enable GPIO19 Others As per configuration Getting Started

  1. Upload Firmware Open code in Arduino IDE or PlatformIO Select ESP32 board Upload to device
  2. Open Serial Monitor Set baud rate (e.g., 115200) Observe sensor values Testing Verify each sensor individually Compare readings with reference instruments Perform stability test for 60 seconds Calibrate pH and TDS for accuracy Calibration pH: Use standard buffer solutions (pH 4 and pH 7) TDS: Use known ppm solution or voltage reference Temperature: Compare with standard thermometer Output Example Temp: 28.5°C | Humidity: 65% pH: 7.02 TDS: 120 ppm Water Temp: 29.1°C Soil Moisture: 75% Applications Environmental monitoring Agriculture and soil analysis Water quality testing IoT based sensing systems Notes Ensure proper grounding for analog sensors Allow settling time for pH and TDS sensors Use stable power supply for accurate readings License

This project is open source and free to use for development and educational purposes.

About

The environmental sensor firmware runs on the ESP32 to manage and read all sensors including temperature, humidity, pH, TDS, liquid temperature, and soil moisture. It processes raw data, applies filtering and calibration, and outputs stable, accurate readings for monitoring and analysis.

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