Intelligent Control Shed Poultry Farm System Incorporating With Machine Learning

Project Code :TEMBMA3542

Objective

The project revolutionizes poultry farming with intelligent control systems powered by machine learning, optimizing conditions for healthier birds, higher yields, and sustainable operations in controlled shed environments.

Abstract

The Intelligent Control Shed Poultry Farm System leverages Arduino Uno and machine learning to optimize poultry farm operations. Equipped with gas sensors to detect harmful gases, a temperature sensor for internal temperature monitoring, and a DHT11 sensor for humidity and temperature measurements, the system continuously collects environmental data. This   data is processed by machine learning algorithms to detect any irregularities or potential hazards. When abnormal conditions are   identified, the system promptly sends alerts via GSM messages. This integrated solution enhances poultry health management by monitoring and providing immediate responses, thereby improving overall farm efficiency and ensuring the well-being of the poultry.

Keywords: Machine Leaning, DHT11, Gas 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
  • Gas sensor
  • Temperature Sensor
  • DHT11
  • GSM
  • Power Supply
  • LCD display
  • Buzzer

Software Requirements:

  • Arduino  IDE
  • Embedded C
  • Python IDLE

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
  • Working of LCD
  • Working of Sensor
  • Working of power supply
  • 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

Demo Video

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