Beef freshness classification by using color analysis, multi-wavelet transformation, and artificial neural network

D Trientin, B Hidayat, S Darana - … International Conference on …, 2015 - ieeexplore.ieee.org
Any radiation techniques have been performed such as gamma radiation, X-ray, and
infrared to determine the level of reduction in physical beef quality. The main difference of …

Meat quality classification based on color intensity measurement method

T Yulianti, A Yudamson, HD Septama… - … on Electronics and …, 2016 - ieeexplore.ieee.org
The fresh and defective beef identification by consumers is subjectively through visual
observation. However, identifying beef quality manually has disadvantage, there is human …

Chicken meat freshness identification using colors and textures feature

RA Asmara, Q Hasanah, F Rahutomo… - 2018 Joint 7th …, 2018 - ieeexplore.ieee.org
This research proposed the identification of chicken freshness level based on its color and
texture features. Color Features used are the RGB (Red, Green, and Blue) and HSV (Hue …

Chicken meat freshness identification using the histogram color feature

RA Asmara, F Rahutomo, Q Hasanah… - … and technology (SIET …, 2017 - ieeexplore.ieee.org
Identifying the chicken meat freshness level is necessary since it involves the quality of the
meat consumed. This research aims at identifying the freshness level of chicken meat based …

[PDF][PDF] Beef Quality Classification based on Texture and Color Features using SVM Classifier

R Farinda, ZR Firmansyah, C Sulton… - J. Telemat …, 2018 - researchgate.net
Beef quality can be examined visually by observing the beef color or texture using human
eyes. This manual method is very simple yet very subjective because of differences in …

Identification of Beef Freshness Using Linear Discriminant Analysis (LDA) Algorithm and Extraction of HSV Values

R Napianto, AT Prastowo, AD Wahyudi… - … on Electronic and …, 2022 - ieeexplore.ieee.org
To determine the quality of beef, it is usually seen using a flashlight and matching it with a
predetermined color standard. However, this method is time consuming and the results are …

Quality Grading of Beef using Deep Convolutional Neural Network

A Sharma, T Choudhury, T Sarkar… - 2023 9th …, 2023 - ieeexplore.ieee.org
Beef is one of the most widely consumed meat, being an organic substance it is prone to
degradation over time. In our paper we have proposed a Convolutional Neural Network …

Texture feature extraction based on GLCM and DWT for beef tenderness classification

S Widiyanto, Y Sukra, S Madenda… - … on Informatics and …, 2018 - ieeexplore.ieee.org
Four test parameters of beef quality are meat color, fat color, marbling, and tenderness. Beef
tenderness measurement's parameters are not workable for visual assessment, because it …

Beef quality identification using color analysis and k-nearest neighbor classification

K Adi, S Pujiyanto, OD Nurhayati… - 2015 4th International …, 2015 - ieeexplore.ieee.org
Beef is one of the many produce prone to contamination by microorganism. Water and
nutrition contents make an ideal medium for the growth and proliferation of microorganism …

Detection of meat fresh degree based on neural network

G Peiyuan, B Man, Q Shiha… - … on Mechatronics and …, 2007 - ieeexplore.ieee.org
In order to find a quick valid scientific way to identify meat freshness, the article analyses the
measuring mechanism of identifying to fresh degree of meat, and designs one set of …