Development of an Intelligent Defect Detection System for Gummy Candy under Edge Computing

SW Chen, CJ Tsai, CH Liu, WCC Chu… - Journal of Internet …, 2022 - jit.ndhu.edu.tw
Gummy candies are one of the products of the food industry. It has invested more resources
in all aspects of the food production chain to improve production processes. The defective …

Determining spoilage level against time and temperature of tomato-based Filipino cuisines using electronic nose

MVC Caya, FRG Cruz, PJR Blas… - 2017IEEE 9th …, 2017 - ieeexplore.ieee.org
Every person has different perspective on whether a food is spoiled, and this may lead to
wrong assumptions on the food's condition. Misinterpretation on food condition could lead to …

Detection potential of multi-features representation of e-nose data in classification of moldy maize samples

Y Yin, Y Hao, H Yu, Y Liu, F Hao - Food and Bioprocess Technology, 2017 - Springer
In order to assess rapidly and timely the moldy degree of maize samples using electronic
nose (E-nose) and improve the correct classification rate of E-nose, the different feature …

[HTML][HTML] Deep learning in a sensor array system based on the distribution of volatile compounds from meat cuts using GC–MS analysis

SI Sabilla, R Sarno, K Triyana, K Hayashi - Sensing and Bio-Sensing …, 2020 - Elsevier
Generally, people distinguish the type of meat by looking at the color, texture, and even
aroma of meat. These three methods have less effective approaches to distinguish the types …

An approach to classify rice quality using electronic nose dataset-based Naïve bayes classifier

IM Sari, DR Wijaya, W Hidayat… - … on Electronics and …, 2021 - ieeexplore.ieee.org
Rice is a staple cuisine for people in Asia, particularly in Indonesia. Rice reserves that are
optimal provide sufficient dietary needs. The fundamental issue is that rice quality has …

A new method combining KECA-LDA with ELM for classification of Chinese liquors using electronic nose

XM Jia, QH Meng, YQ Jing, PF Qi, M Zeng… - IEEE Sensors …, 2016 - ieeexplore.ieee.org
We proposed a hybrid algorithm by combining kernel entropy component analysis (KECA)
with linear discriminant analysis (LDA), namely, KECA-LDA for feature reduction in …

Beef image classification using k-nearest neighbor algorithm for identification quality and freshness

S Agustin, R Dijaya - Journal of Physics: Conference Series, 2019 - iopscience.iop.org
Nowadays many traders are cheating in selling meat that is not feasible for consumption to
get a greater profit by mixing good meat with meat that is not feasible for consumption. So …

Classification of soybean tempe quality using deep learning

Y Hendrawan, B Rohmatulloh, I Prakoso… - … Series: Earth and …, 2021 - iopscience.iop.org
Tempe is a traditional food originating from Indonesia, which is made from the fermentation
process of soybean using Rhizopus mold. The purpose of this study was to classify three …

[PDF][PDF] Optimizing Machine Learning Parameters for Classifying the Sweetness of Pineapple Aroma Using Electronic Nose.

MA Hasan, R Sarno, SI Sabilla - International Journal of Intelligent …, 2020 - inass.org
Electronic nose (e-nose) has been widely used to distinguish various scents in food. The
output of e-nose is a signal that can be identified, compared, and analyzed. However, many …

Comparison of algorithms for an electronic nose in identifying liquors

Z Shi, T Yu, Q Zhao, Y Li, Y Lan - Journal of Bionic Engineering, 2008 - Elsevier
When the electronic nose is used to identify different varieties of distilled liquors, the pattern
recognition algorithm is chosen on the basis of the experience, which lacks the guiding …