IoT and Machine Learning-Based Smart Soil Irrigation Farming Systems
Also Available Domains IOT
Objective
This project explores integrating IoT and machine learning for smart soil irrigation, optimizing water usage, enhancing crop yield, and improving sustainability in farming through real-time monitoring and data-driven decision-making.
Abstract
The "IoT and Machine Learning-Based Smart Soil Irrigation Farming System" integrates advanced technologies to optimize soil irrigation and enhance farming efficiency. Utilizing an Arduino microcontroller, the system controls various components including a relay for managing the irrigation pump, an LCD for real-time data display, and a buzzer for audio alerts on abnormal conditions. Soil moisture sensors continuously monitor soil moisture levels, while a light-dependent resistor (LDR) measures light conditions and a DHT11 sensor tracks temperature and humidity. The system employs GSM technology to send notifications during critical events. Machine learning algorithms analyze data from these sensors to predict irrigation needs and send timely alerts, ensuring precise water usage and improved crop health. This integrated approach aims to automate irrigation, reduce water wastage, and provide actionable insights for effective farm management.
Keywords: Arduino Uno, Soil Moisture Sensor, LCD, GSM, DHT11 Sensor.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Hardware requirements:
- Arduino Uno
- Soil Moisture Sensor
- DHT11 Sensor
- LDR Sensor
- Relay
- LEDs
- LCD Display
- Buzzer
- GSM
- Pump
Software Requirements
- Arduino IDE
- Embedded C
Learning Outcomes
- Arduino pin diagram and architecture
- How to install Arduino IDE
- Setting up and installation procedure for Arduino
- Introduction to Arduino IDE and software tools
- Basic coding with Arduino
- Working of Soil Moisture sensor
- Interface Soil Moisture sensor with Arduino
- Working of Soil Moisture sensor
- Interface DHT11 sensor with Arduino
- Working of GSM module with Arduino
- Understanding power supply for Arduino
- About Project Development Life Cycle:
- Planning and Requirement Gathering (software, tools, hardware components, etc.)
- Schematic preparation
- Code development and debugging
- Hardware setup and debugging
- Development of the Project and Output testing
- Practical exposure to:
- Hardware and software tools
- Solution providing for real-time problems
- Working with a team/individually
- Working on creative ideas
- Project development skills:
- Problem analysis
- Problem solving
- Creativity and imagination
- Programming skills (Python)
- Deployment
- Testing
- Debugging
- Project presentation
- Report writing
Paper Publishing
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6-2-85/B, Old Maternity Hospital Road, Thyagaraja Nagar, Tirupati, Andhra Pradesh – 517501
+91 9030333433
+91 9393939065
0877-2261612
Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
