The project aims to design and develop an IoT-based agriculture data monitoring system using Arduino and the ThingSpeak cloud platform. The system uses an LM35 temperature sensor to measure the surrounding temperature and a soil moisture sensor to detect the moisture content in the soil. An ESP8266 Wi-Fi module is used to upload the collected sensor data to the ThingSpeak cloud platform, allowing users to monitor agricultural field conditions remotely from anywhere through the internet. The proposed system uses an Arduino microcontroller as the main controlling unit. The soil moisture sensor, LM35 temperature sensor, and ESP8266 Wi-Fi module are interfaced with the Arduino. The microcontroller continuously reads the temperature and soil moisture values from the respective sensors and transmits the collected data to the ThingSpeak cloud platform through the ESP8266 Wi-Fi module. The uploaded sensor readings can be viewed and monitored using graphical representations on the ThingSpeak webpage. The Arduino is programmed using Embedded C language to perform the required monitoring and data transmission operations.        

Objectives:

1. To develop an IoT-based agriculture monitoring system using Arduino.
2. To monitor soil moisture levels using a soil moisture sensor.
3. To measure environmental temperature using an LM35 sensor.
4. To upload real-time sensor data to the ThingSpeak cloud platform.
5. To enable remote monitoring of agricultural field conditions through the internet.
6. To reduce manual monitoring and support efficient agricultural management.

           

Main blocks in this project:

• Adapter power supply.
• ARDUINO Microcontroller.
• Soil moisture sensor.
• LM35 Temperature sensor.
• ESP8266 Wi-Fi Module.

         

Software’s used in this project:

1. Arduino IDE studio compiler.
2. Express SCH for Circuit Design.
3. Embedded C language.

           

Block diagram:        

 

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