[PDF][PDF] Ensemble Learning for Optimizing Classification of Pork Adulteration in Beef Based on Electronic Nose Dataset.

M Malikhah, R Sarno, SI Sabilla - International Journal of …, 2021 - researchgate.net
Pork and beef are the main resources of red meat in the world. However, not everyone can
eat pork because of their religious background or other reasons. Therefore, it is very …

An improved classification of pork adulteration in beef based on electronic nose using modified deep extreme learning with principal component analysis as feature …

C Avian, JS Leu, SW Prakosa, M Faisal - Food Analytical Methods, 2022 - Springer
Rapid meat consumption for human diets is causing a considerable production demand to
fulfill. Due to many factors, such as economic problems, the adulteration problem of mixing …

Development of mobile electronic nose for beef quality monitoring

DR Wijaya, R Sarno, E Zulaika, SI Sabila - Procedia Computer Science, 2017 - Elsevier
Meat is one of foodstuff that widely consumed in the world. Unfortunately, the quality of meat
can easily degrade if not handled properly and become the serious health hazards if …

A machine learning method for the quantitative detection of adulterated meat using a MOS-based E-nose

C Huang, Y Gu - Foods, 2022 - mdpi.com
Meat adulteration is a global problem which undermines market fairness and harms people
with allergies or certain religious beliefs. In this study, a novel framework in which a one …

Optimal sample temperature of electronic nose for detecting beef and pork mixture

SA Laga, R Sarno - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
The high-demand and the high price of food raw materials such as meat are widely used by
meat sellers in traditional markets to commit fraud in order to reap more profits. The fraud …

Discrimination of Minced Mutton Adulteration Based on Sized-Adaptive Online NIRS Information and 2D Conventional Neural Network

Z Bai, J Gu, R Zhu, X Yao, L Kang, J Ge - Foods, 2022 - mdpi.com
Single-probe near-infrared spectroscopy (NIRS) usually uses different spectral information
for modelling, but there are few reports about its influence on model performance. Based on …

[PDF][PDF] Temperature effect of electronic nose sampling for classifying mixture of beef and pork

SA Laga, R Sarno - Indonesian Journal of Electrical …, 2020 - pdfs.semanticscholar.org
Strong demand and strong price of raw foodstuffs like beef was commonly used in
conventional markets by beef dealers to commit fraud in order to gain larger income. The …

Research on the authenticity of mutton based on machine vision technology

C Zhang, D Zhang, Y Su, X Zheng, S Li, L Chen - Foods, 2022 - mdpi.com
To realize the real-time automatic identification of adulterated minced mutton, a
convolutional neural network (CNN) image recognition model of adulterated minced mutton …

Qualitative and quantitative detection of food adulteration using a smart E-Nose

KK Pulluri, VN Kumar - Sensors, 2022 - mdpi.com
Food adulteration is the most serious problem found in the food industry as it harms people's
healths and undermines their beliefs. The present study is focused on designing and …

Beef quality assessment using AutoML

T Anwar, H Anwar - 2021 Mohammad Ali Jinnah University …, 2021 - ieeexplore.ieee.org
Meat is an essential part of human food as it provides nutrients. During meat supply and
storage, meat products may lose nutrients and produce harmful compounds for human …