AI-Powered Crop Monitoring System with Android App Integration
Objective
The objective is to build an AI-powered crop monitoring system that provides real-time health analysis and alerts via an Android app, helping farmers boost yield and manage crops effectively.
Abstract
This project presents an AI-powered crop monitoring system with Android app integration using Arduino, DHT11, soil moisture sensor, pH sensor, LCD display, Bluetooth module, relay, and DC water pump. The system continuously monitors environmental and soil conditions, including temperature, humidity, soil moisture, and pH levels. A Random Forest machine learning algorithm analyzes the collected data to assess crop conditions and support irrigation decisions. The sensor data is displayed on the LCD and transmitted to an Android application via Bluetooth for remote monitoring. The system automatically controls the water pump based on soil moisture levels, improving irrigation efficiency and crop management.
Keywords: Arduino, Crop Monitoring, Random Forest, Bluetooth, Smart Irrigation.
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 components:
- Arduino UNO
- LCD
- DHT11 Sensor
- PH Sensor
- Soil Moisture Sensor
- Relay
- Dc Pump Motor
- Bluetooth
- Arduino Cable
- LCD
- Connectors-10.
Software requirements:
- Arduino IDE
- Embedded C
- Python IDLE
Learning Outcomes
- Arduino pin diagram and architecture
- How to install Arduino UNO / setup software
- Setting up and installation procedure for Arduino UNO
- Introduction to Arduino UNO environment / development setup Basic programming in Arduino UNO (Embedded C)
- Basics of Embedded programming using Arduino UNO
- Basics of IoT platforms
- Working of power supply
- About Project Development Life Cycle:
- Planning and Requirement Gathering (software, 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
- Skills developed:
- Project development skills
- Problem analyzing skills
- Problem solving skills
- Creativity and imaginative skills
- Programming skills
- Deployment
- Testing skills
- Debugging skills
- Project presentation skills
- Thesis writing skills
Paper Publishing
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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.
