[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 …

[PDF][PDF] E-nose-based optimized ensemble learning for meat quality classification

LM Abouelmagd - Journal of System and Management Sciences, 2022 - aasmr.org
One of the most important sustainable development goals is eliminating hunger. Meat is an
essential source of protein for the human body, which aids in its health. Because it is a …

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 …

[HTML][HTML] Electronic nose dataset for pork adulteration in beef

R Sarno, SI Sabilla, DR Wijaya, D Sunaryono… - Data in brief, 2020 - Elsevier
This article provides a dataset of several weight combinations from the adulteration of pork
in beef using an electronic nose (e-nose). Seven combinations mixtures have been built …

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 …

[HTML][HTML] Detection of beef adulterated with pork using a low-cost electronic nose based on colorimetric sensors

F Han, X Huang, J H. Aheto, D Zhang, F Feng - Foods, 2020 - mdpi.com
The present study was aimed at developing a low-cost but rapid technique for qualitative
and quantitative detection of beef adulterated with pork. An electronic nose based on …

[HTML][HTML] 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 …

Detecting pork adulteration in beef for halal authentication using an optimized electronic nose system

R Sarno, K Triyana, SI Sabilla, DR Wijaya… - IEEE …, 2020 - ieeexplore.ieee.org
Recently, the issue of food authentication has gained attention, especially halal
authentication, because of cases of pork adulteration in beef. Many studies have developed …

Analysis of pork adulteration in minced mutton using electronic nose of metal oxide sensors

X Tian, J Wang, S Cui - Journal of Food Engineering, 2013 - Elsevier
The aims were to detect the adulteration of mutton by applying traditional methods (pH and
color evaluation) and the E-nose, to build a model for prediction of the content of pork in …