Build a Field‑Ready Insect Identifier with Raspberry Pi 5 — Classify 50 Indian Agricultural Pests in Real Time

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

Walk through a cotton, rice, or chilli field, snap a macro photo of an insect, and know within a second whether it’s a friend or a pest that can destroy a harvest. This kit puts an on‑device TensorFlow Lite classifier on a Pi 5, trained to recognise 50 of the most common crop‑damaging insects found across Indian farms — from pink bollworm to brown planthopper. No cloud, no latency, no recurring costs.

What You'll Build

You’ll assemble a compact, battery‑friendly imaging device that runs a pre‑optimised TFLite model entirely offline. The Pi Camera Module 3 with macro lens and ring light captures sharp, evenly lit photos of insects as small as 2 mm. Inference happens on the Raspberry Pi 5’s quad‑core Arm processor, delivering a pest label and confidence score on a local display. The result is a portable, field‑ready crop scout that works where internet cannot reach — exactly what Indian agriculture needs.

What You'll Learn

• Configure a Raspberry Pi 5 with NVMe SSD over M.2 HAT+ for high‑speed model loading and image caching
• Deploy a quantised TensorFlow Lite image classifier and benchmark its accuracy on real insect photos
• Calibrate a macro lens and ring light to capture sharp, shadow‑free macro shots of moving insects
• Interpret classification confidence thresholds and handle ambiguous identifications in a field setting

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

This kit is built for B.Tech agricultural engineering and ECE students designing smart‑farming tools, for CBSE Class 12 AI enthusiasts tackling practical computer vision problems, and for Smart India Hackathon teams building real‑time crop health monitors. It’s equally relevant in IIT, NIT, and VIT labs where edge AI meets agri‑tech, and fits perfectly into ATL Tinkering Lab projects that move from concept to field‑tested prototype.

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.