An Early Detection System For Proactive Management Of Raw Milk Quality
Also Available Domains Arduino|WSN|Industrial Automation
Abstract
This project presents an early detection system aimed at the proactive management of raw milk quality by integrating sensor-based hardware with machine learning. The system utilizes an Arduino Mega 2560 microcontroller connected to various sensors—including pH, temperature, gas, and LDR sensors—to continuously monitor critical parameters that influence milk quality. Real-time data is displayed on an LCD screen, providing immediate visual feedback. The collected sensor data is analyzed using Python-based machine learning algorithms to detect early signs of spoilage or contamination. Upon identifying any abnormalities, the system triggers a buzzer alarm and sends an alert to the user via a GSM module, enabling timely intervention. LED indicators further assist in status visualization. This integrated approach allows for early detection of milk quality deterioration, supporting improved safety, reduced waste, and better decision-making in dairy handling and storage.
Keywords: milk quality.
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
- LCD
- pHSensor
- TemperatureSensor
- LDR
- LED
- GasSensor
- USB cable
- Buzzer
- GSM
Software components:
· Arduino IDE
· Embedded c
· Python IDLE
Learning Outcomes
- Understand the Arduino uno microcontroller pin diagram and architecture.
- Learn how to install and set up the necessary development environment for Arduino uno.
- Get acquainted with software tools for Arduino uno programming.
- Develop basic coding skills for the Arduino uno microcontroller.
- Explore the functionality of ph ,gas and temperature sensor.
- Learn about the power supply requirements for the Arduino and connected components.
- 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
- Thesis writing skills
Paper Publishing
Request Call Back
Would you like to receive a free callback now?
Choose the best time for callback:
Leave your message and we will contact you as soon as possible
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, and not projects of or by IEEE.
