Smart Soil Monitoring IoT-Based NPK Detection with Python
This project involved developing a system for monitoring Nitrogen (N), Phosphorus (P), and Potassium (K) levels in soil using IoT technology. The system was designed to provide real-time data on soil fertility, helping farmers make informed decisions about fertilization.
Key Features
- Sensor Integration: Integrated soil NPK sensors to measure nutrient levels accurately.
- Data Collection: Collected data using Arduino and transmitted it via Modbus communication.
- Real-Time Monitoring: Enabled real-time monitoring of soil conditions through a web application.
- User Interface: Developed a user-friendly interface for easy access to soil nutrient data.
Technologies Used
- Sensors: Soil NPK Sensor
- Communication: Modbus, SIM800L Module
- Programming Languages: Python, C++
- Web Development: HTML, CSS, JavaScript
- IoT Platform: Blynk
Outcome
The project successfully demonstrated the effectiveness of IoT in monitoring soil nutrients. The system provided accurate and timely data, which can be accessed through a smartphone or computer, allowing farmers to effectively manage their crops.
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