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

Clients

Techstack

Purpose

Chemical residue left on vegetables is invisible, and lab testing for it is slow and costly, out of reach for a quick food-safety check. This study set out to prove that an electronic tongue could taste the difference between clean and contaminated broccoli and flag the risk on its own.

Description

We built a screening tool around an array of chemical sensors that sample a vegetable, then taught software to make sense of that flood of readings, compressing it down to the patterns that matter and classifying each sample by how much residue it carries. The classifier was checked during training to confirm it was actually learning the difference rather than guessing, and the results surface through a simple desktop interface anyone can read. Pairing custom sensing hardware with pattern-recognition software into a practical food-safety check is exactly the kind of applied machine-learning problem we take on.