This system aims to develop a smart agriculture IoT network for efficient monitoring and management. Utilize DHT22, fire sensor, soil moisture sensor, buzzer, LCD display, relay, AC motor, and Thing Speak cloud. The DHT22 sensor measures temperature and humidity, providing crucial data for maintaining optimal environmental conditions. The soil moisture sensor continuously monitors soil moisture levels, enabling automated irrigation through the AC motor controlled by the relay. Additionally, a fire sensor detects potential fire hazards, triggering alerts via the buzzer. These sensors provide real-time data that is logged and analyzed in the Thing Speak cloud platform. All sensor data is logged and analyzed in the Thing Speak cloud platform, offering real-time insights for informed decision-making and enhancing overall agricultural productivity and sustainability.

 

The main objective of this project is:

1. Developing a smart agriculture IoT network for efficient monitoring and management of agricultural conditions.
2. Integrate sensors such as the DHT22 sensor, soil moisture sensor, and fire sensor to collect real-time data on environmental conditions and potential hazards.
3. Implement automated irrigation using an AC motor controlled by a relay based on soil moisture levels.
4. Provide alert notifications through a buzzer for critical events such as fire detection or extreme environmental conditions.
5. Focusing on low power solutions to ensure energy efficiency and sustainability in agricultural operations.

The major building blocks of this project are:

• Regulated power supply
• Raspberry Pi zero w
• Fire sensor
• Buzzer
• Ac motor
• Soil Moisture Sensor
• Thing speak cloud
• DHT22
• LCD display

Software’s used:

1. Python language.
2. Raspbian OS.
3. Express SCH for Circuit design.

   

   

     

   

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