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Bamboo Species and Disease Classifier — AI & Machine Learning project by YenkoDev

Bamboo Species and Disease Classifier

Software as a Service

No

Category

AI & Machine Learning

Clients

Confidential

Techstack

PythonTensorFlowKerasOpenCVRaspberry PiTkinter

Purpose

The project set out to identify bamboo species and detect leaf diseases in the field from a single photo, packaged as a portable device that non-experts can operate with a touchscreen.

Description

A Raspberry Pi device with a touchscreen Tkinter interface and camera module that captures a bamboo leaf, runs a binary bamboo/not-bamboo check, then classifies the species (four classes) and disease condition (three classes) using dual TensorFlow Lite models built on MobileNetV3 preprocessing. Results are overlaid on the captured image with confidence scores and can be saved to disk, and the pipeline can also be run headlessly from the command line for single-image inference.

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