.

ISSN 2063-5346
For urgent queries please contact : +918130348310

INDENTIFICATION OF CHICKEN IN CHICKEN, BEEF AND LAMB EXPERIMENTS USING CONDUCTING POLYMER SENSOR SERIES AND KOHONEN ALGORITHM METHOD

Main Article Content

Benrad Edwin Simanjuntak, Marhaposan Situmorang, Syahrul Humaidi, Marzuki Sinambela
» doi: 10.31838/ecb/2023.12.si6.241

Abstract

In a classifications of meat types circuit, the chicken, beef and lamb are based on the aroma of each type of meat. This principle is similar to the human nose and the principle is known as an electronic nose, using a Conductive Polymer sensor array consisting of 6 (six) pieces and using an Artificial Neural Network (NN) as pattern recognition and an ATMega16 microcontroller as data acquisition. Neural Network trained using Kohonen. In this paper, the chicken, beef and mutton were taken as test samples and placed in a closed container at room temperature. Tests were carried out 10 times to ensure the circuit could determine the type of chicken meat. The percentage of system success was 100%.

Article Details