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E-Tongue Measurement of Chemical Residue in Broccoli Using LVQ and PCA — AI & Machine Learning project by YenkoDev

E-Tongue Measurement of Chemical Residue in Broccoli Using LVQ and PCA

Software as a Service

No

Category

AI & Machine Learning

Clients

Mapua University

Techstack

PythonArduinoLVQPCAPyQt5

Purpose

This Mapua University study aims to detect chemical residue in broccoli using Arduino-based electronic tongue sensors, applying Learning Vector Quantization and Principal Component Analysis to classify contamination levels for food safety.

Description

Arduino-based e-tongue sensors sample broccoli and feed readings to a Python application, where PCA reduces the sensor data's dimensionality and an LVQ classifier identifies the presence of chemical residues. Model performance was validated during training with confusion matrix analysis. A PyQt5 desktop interface presents results to the user, producing a practical screening tool for food safety and quality control.

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