Smart Farming System using IoT for Efficient Crop Growth

This project presents an integrated control system that utilizes an ARM7 microcontroller to interface with various sensors and actuators, enabling automated environmental monitoring and control. The system incorporates Light Dependent Resistor (LDR), LM35  temperature sensor, soil moisture sensor, DC pump, LED lights, CPU fan, and GSM module, all interconnected through three relays for efficient and flexible control. The system aims to provide a responsive and intelligent environment by automating tasks based on sensor readings. The LDR sensor detects light levels, and when darkness is detected, the Arduino triggers the relay to activate the LED lights. This ensures adequate illumination during low light conditions, enhancing visibility and safety.

The LM35 sensor monitors temperature levels. When the temperature exceeds a predefined threshold, the CPU fan relay is activated to regulate the temperature, preventing overheating and maintaining optimal operating conditions. The soil moisture sensor assesses the soil's moisture content, and if it falls below a set threshold, the DC pump is triggered via a relay. This feature facilitates automated irrigation, ensuring that plants receive adequate water to maintain healthy growth. An LCD display is integrated to provide visual feedback of the sensor readings, enhancing user interaction and system status monitoring. Furthermore, the system is equipped with a GSM module that enables it to send SMS alerts to a designated recipient in case of critical events, such as extreme temperature or low soil moisture. This feature ensures timely notifications and intervention. Additionally, the system facilitates data collection and analysis by uploading sensor readings to a web server. This enables remote monitoring and historical data tracking, contributing to informed decision-making.

Keywords: ARM7, LM35, LDR, Soil Moisture, LM35