Beef Quality Identification Using Thresholding Method and Decision Tree Classification Based on Android Smartphone
Joint Authors
Adi, Kusworo
Pujiyanto, Sri
Dwi Nurhayati, Oky
Pamungkas, Adi
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-17
Country of Publication
Egypt
No. of Pages
10
Abstract EN
Beef is one of the animal food products that have high nutrition because it contains carbohydrates, proteins, fats, vitamins, and minerals.
Therefore, the quality of beef should be maintained so that consumers get good beef quality.
Determination of beef quality is commonly conducted visually by comparing the actual beef and reference pictures of each beef class.
This process presents weaknesses, as it is subjective in nature and takes a considerable amount of time.
Therefore, an automated system based on image processing that is capable of determining beef quality is required.
This research aims to develop an image segmentation method by processing digital images.
The system designed consists of image acquisition processes with varied distance, resolution, and angle.
Image segmentation is done to separate the images of fat and meat using the Otsu thresholding method.
Classification was carried out using the decision tree algorithm and the best accuracies were obtained at 90% for training and 84% for testing.
Once developed, this system is then embedded into the android programming.
Results show that the image processing technique is capable of proper marbling score identification.
American Psychological Association (APA)
Adi, Kusworo& Pujiyanto, Sri& Dwi Nurhayati, Oky& Pamungkas, Adi. 2017. Beef Quality Identification Using Thresholding Method and Decision Tree Classification Based on Android Smartphone. Journal of Food Quality،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1175728
Modern Language Association (MLA)
Adi, Kusworo…[et al.]. Beef Quality Identification Using Thresholding Method and Decision Tree Classification Based on Android Smartphone. Journal of Food Quality No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1175728
American Medical Association (AMA)
Adi, Kusworo& Pujiyanto, Sri& Dwi Nurhayati, Oky& Pamungkas, Adi. Beef Quality Identification Using Thresholding Method and Decision Tree Classification Based on Android Smartphone. Journal of Food Quality. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1175728
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175728