Pi 5 Poultry Farm Health AI System: Early Disease Detection for Your Poultry Farm

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

Imagine detecting subtle shifts in your poultry shed—a rise in abnormal clucking, a spike in temperature, or reduced flock movement—and getting an alert hours before visible disease symptoms appear. This kit puts you at the forefront of smart agriculture by guiding you to build a Raspberry Pi 5 system that fuses microphone, temperature, and motion sensor data into a real-time distress classifier. Whether you’re a student building a Smart India Hackathon entry or a farm owner wanting proactive health monitoring, every component is included to turn a Pi 5 into an early warning sentinel for your birds.

What You'll Build

You’ll assemble a compact monitoring unit that listens for coughs and sneezes via two MAX9814 microphones, tracks ambient conditions across zones using three DHT22 sensors, and logs bird activity with four PIR motion detectors. The Pi 5 processes this multi-sensor stream through a trained model, sending an SMS or email alert when the classifier detects patterns linked to respiratory distress or lethargy. The entire system stores logs on a 128GB NVMe SSD, giving you a record of flock health trends.

What You'll Learn

• Connect and calibrate sound, temperature, and motion sensors concurrently on Raspberry Pi 5
• Preprocess and fuse multi-modal sensor data for machine learning input
• Train and deploy a distress classification algorithm to spot early poultry disease indicators
• Build a reliable IoT alert pipeline that notifies farm owners via common communication channels

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately