Classification of pork and beef meat images using extraction of color and texture feature by Grey Level Co-Occurrence Matrix method

RA Asmara, R Romario, KS Batubulan… - IOP Conference …, 2018 - iopscience.iop.org
In Indonesia, beef meat usually sells with expensive price. It because of long distribution
from the cattle rancher to the end customer. This causing a high-cost on the production and …

Identifying pork raw-meat based on color and texture extraction using support vector machine

SA Aisah, AH Setyaningrum… - … on Cyber and IT …, 2020 - ieeexplore.ieee.org
Meat is one of the foods that are rich in animal protein. The demand for meat in Indonesia
continues to increase each year in line with the increase in population. Many traders are …

[PDF][PDF] Classification of Meat Imagery Using Artificial Neural Network Method and Texture Feature Extraction By Gray Level Co-Occurrence Matrix Method

C Imam, EW Hidayat, NI Kurniati - Jurnal Teknik Informatika (Jutif …, 2021 - jutif.if.unsoed.ac.id
Lately, there is often a mixture of beef and pork done by traders to the general public as
buyers. This is due to the unconsciousness of the buyer on how to recognize the type of …

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 …

Support Vector Machine Untuk Klasifikasi Citra Jenis Daging Berdasarkan Tekstur Menggunakan Ekstraksi Ciri Gray Level Co-Occurrence Matrices (GLCM)

N Neneng, K Adi, R Isnanto - Jurnal Sistem Informasi Bisnis, 2016 - ejournal.undip.ac.id
Texture is one of the most important features for image analysis, which provides informations
such as the composition of texture on the surface structure, changes of the intensity, or …

Consumable Fish Classification Using k-Nearest Neighbor

S Winiarti, FI Indikawati, A Oktaviana… - IOP Conference Series …, 2020 - iopscience.iop.org
Fish is beneficial for the human body because it has high protein content. Consuming fish is
necessary and expert knowledge is needed to identify fresh fish that are suitable for …

Pork and Beef Features Extractions

J Chairunnisa, TI Muda, FK Fikriah… - … on Application for …, 2018 - ieeexplore.ieee.org
Increased demand for meat in the market causes various problems, including misuse of
sales by mixing beef with pork. The similarity between meat as making a layman is difficult to …

Classification Of Tomato Quality Based On Color Features And Skin Characteristics Using Image Processing Based Artificial Neural Network

AS Agung, AF Dirgantara SR… - Jurnal Teknik …, 2023 - jutif.if.unsoed.ac.id
Abstract Tomato (Solanum Lycopersicum) is a plantation commodity in Indonesia with a
production rate that tends to increase every year. With a high economic value, maintenance …

Recognition of roasted coffee bean levels using image processing and neural network

TH Nasution, U Andayani - IOP Conference Series: Materials …, 2017 - iopscience.iop.org
The coffee beans roast levels have some characteristics. However, some people cannot
recognize the coffee beans roast level. In this research, we propose to design a method to …

Implementation of Convolutional Neural Networks to Recognize Images of Common Indonesian Food

IPAED Udayana, M Sudarma… - IOP Conference Series …, 2020 - iopscience.iop.org
One of the applications of computer vision in the popular culture is food recognition which is
popularized in the internet with a" hotdog and not hotdog" problem. Food recognition is also …