Raspberry Pi 5 AI Vision Kit: Build a Crop Disease Classifier for Manufacturing QC

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

Turn a Raspberry Pi 5 into a real-time visual inspection system for crop quality control. You’ll train and deploy a MobileNetV2 model that identifies plant diseases from leaf images captured by the Pi Camera Module 3, all accelerated by the AI HAT+—just like modern AI-driven manufacturing lines used in agri-food processing.

What You'll Build

A standalone edge-AI system that classifies crop diseases in under a second. Point the camera at a leaf, and the device instantly identifies common diseases like blight, rust, or mildew, logging results for QC records. You’ll have a working prototype that mirrors industrial vision inspection lines used by food packers and agri-exporters.

What You'll Learn

• Train a MobileNetV2 image classifier on a plant disease dataset
• Deploy a TensorFlow Lite model onto Raspberry Pi 5 with AI HAT+ acceleration
• Interface a Pi Camera Module 3 for real-time image capture
• Build a QC dashboard that displays classification results and logs data

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

B.Tech (ECE, EEE, Agri) students building Smart India Hackathon projects, campus incubator teams working on precision agriculture, and makers prototyping AI‑driven QC for food processing SMEs. It’s also ideal for industrial inspection training in IIT, NIT, VIT, or BITS workshops where edge AI and agricultural automation intersect.

Built and Backed by Compoden

Every Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.