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Classification of meat using the convolutional neural network
IAES International Journal of Artificial Intelligence
ISSN 2252-8938, 2089-4872
Terbit 2023-12-01
Penerbit Institute of Advanced Engineering and Science
Bahasa eng
Abstrak
Every animal meat has different color and texture, for example, beef has a dark red color with a chewy texture, while pork has a pale red color and smooth fiber. A previous study has classified types of meat using gray level co-ocurrence matrix (GLCM), hue saturation value (HSV), and color intensity. In this research, we created meat classification between beef, pork, and horse meat using a convolutional neural network (CNN) develop in jupyter notebook, using the MobileNetV2 model, and 315 meat images as a dataset divided into 3 groups, 70% image for the training dataset, 20% image for the testing dataset, and 10% image for validation dataset. Before dividing the image into 3 groups, the image is resized to 224×224, and convert the color to grayscale. The model is trained with a training dataset, the epoch of 50, and Adam optimizer, the results show an accuracy of 93.15%.
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Sumber metadata: OAI-PMH (metadata jurnal) http://ijai.iaescore.com/index.php/IJAI/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc)
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<dc:title xml:lang="en-US">Classification of meat using the convolutional neural network</dc:title>
<dc:creator>Purnamasari, Detty</dc:creator>
<dc:creator>Bachrudin, Koko</dc:creator>
<dc:creator>Suryana, Dede Herman</dc:creator>
<dc:creator>Robert, Robert</dc:creator>
<dc:subject xml:lang="en-US">Deep Learning</dc:subject>
<dc:subject xml:lang="en-US">Classification; Convolutional neural network; Deep learning; Image processing; Meat</dc:subject>
<dc:description xml:lang="en-US">Every animal meat has different color and texture, for example, beef has a dark red color with a chewy texture, while pork has a pale red color and smooth fiber. A previous study has classified types of meat using gray level co-ocurrence matrix (GLCM), hue saturation value (HSV), and color intensity. In this research, we created meat classification between beef, pork, and horse meat using a convolutional neural network (CNN) develop in jupyter notebook, using the MobileNetV2 model, and 315 meat images as a dataset divided into 3 groups, 70% image for the training dataset, 20% image for the testing dataset, and 10% image for validation dataset. Before dividing the image into 3 groups, the image is resized to 224×224, and convert the color to grayscale. The model is trained with a training dataset, the epoch of 50, and Adam optimizer, the results show an accuracy of 93.15%.</dc:description>
<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
<dc:contributor xml:lang="en-US">Universitas Gunadarma</dc:contributor>
<dc:contributor xml:lang="en-US">DGX UG Development Team</dc:contributor>
<dc:date>2023-12-01</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
<dc:type xml:lang="en-US"></dc:type>
<dc:format>application/pdf</dc:format>
<dc:identifier>https://ijai.iaescore.com/index.php/IJAI/article/view/22526</dc:identifier>
<dc:identifier>10.11591/ijai.v12.i4.pp1845-1853</dc:identifier>
<dc:source xml:lang="en-US">IAES International Journal of Artificial Intelligence (IJ-AI); Vol 12, No 4: December 2023; 1845-1853</dc:source>
<dc:source>2252-8938</dc:source>
<dc:source>2089-4872</dc:source>
<dc:source>10.11591/ijai.v12.i4</dc:source>
<dc:language>eng</dc:language>
<dc:relation>https://ijai.iaescore.com/index.php/IJAI/article/view/22526/13760</dc:relation>
<dc:relation>https://ijai.iaescore.com/index.php/IJAI/article/downloadSuppFile/22526/3100</dc:relation>
<dc:rights xml:lang="en-US">Copyright (c) 2023 Institute of Advanced Engineering and Science</dc:rights>
<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>
Sitasi dan pengindeksan
Jumlah menurut tiap indeks pada 13 Nov 2026; setiap indeks menghitung sitasi dengan cara berbeda.
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Sitasi artikel ini
APA 7
Purnamasari, D., Bachrudin, K., Suryana, D. H., & Robert, R. (2023). Classification of meat using the convolutional neural network. IAES International Journal of Artificial Intelligence, 12(4), 1845–1853. https://doi.org/10.11591/ijai.v12.i4.pp1845-1853
Salin
IEEE
D. Purnamasari, K. Bachrudin, D. H. Suryana, and R. Robert, “Classification of meat using the convolutional neural network,” IAES International Journal of Artificial Intelligence, vol. 12, no. 4, pp. 1845–1853, 2023, doi: 10.11591/ijai.v12.i4.pp1845-1853.
Salin
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