AI-Powered Agricultural Safety and Soil Moisture Monitoring System using Raspberry Pi
Objective
To develop an AI-powered system for agricultural safety and soil moisture monitoring using Raspberry Pi and advanced sensors. The system aims to optimize irrigation and enhance farm safety through real-time data analysis and predictive alerts.
Abstract
This project proposes the development of an AI-powered agricultural safety and soil moisture monitoring system utilizing Raspberry Pi and advanced sensor technology. The system is designed to optimize irrigation efficiency and enhance farm safety by providing real-time monitoring and intelligent decision-making capabilities. By integrating soil moisture sensors, environmental sensors, and AI-based data analytics, the system can assess soil conditions, predict irrigation needs, and detect potential hazards such as extreme temperatures or gas leaks. The Raspberry Pi acts as the central processing unit, collecting sensor data and leveraging machine learning algorithms to generate predictive alerts and actionable insights. Real-time data visualization and remote alerts are enabled through cloud connectivity, allowing farmers to make informed decisions and reduce resource waste. This smart, low-cost solution supports sustainable agriculture and improves overall farm management through automation and intelligent control.
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:
- Power Supply
- Arduino UNO
- Raspberry Pi
- Web Camera
- DHT11
- Relay
- Soil Moisture Sensor
- GSM
- Inverter
Software Requirements:
- Embedded C
- Python
- Rasbian OS
- Arduino IDE
Learning Outcomes
- Arduino pin diagram and architecture
- How to install Arduino IDE software
- Setting up and installation procedure for Arduino
- Introduction to Arduino IDE
- Basic coding in Arduino IDE
- Basic of Embedded C language
- Basics of IoT platforms
- Working of power supply
- Introduction to Raspberry Pi architecture and GPIO pin layout
- Operating System setup (e.g., Raspberry Pi OS installation via SD card)
- Basic usage of Linux commands and Raspberry Pi terminal
- Interfacing sensors, camera modules, and actuators with Raspberry Pi
- Writing Python scripts for data collection and hardware control
- Enabling remote access and using SSH/VNC
- Installing and using libraries for AI, camera processing, and GPIO handling.
- Understanding data communication between Raspberry Pi and Arduino.
- About Project Development Life Cycle:
- Planning and Requirement Gathering( software’s, Tools, Hardware components, etc.,)
- Schematic preparation
- Code development and debugging
- Hardware development and debugging
- Development of the Project and Output testing
- Practical exposure to:
- Hardware and software tools.
- Solution providing for real time problems.
- Working with team/ individual.
- Work on Creative ideas.
- Project development Skills
- Problem analyzing skills
- Problem solving skills
- Creativity and imaginary skills
- Programming skills
- Deployment
- Testing skills
- Debugging skills
- Project presentation skills
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.
