Recognizing Cow Muzzle Patterns using the Convolution Neural Network (CNN) Algorithm

In today's digital era, any task or problem can be solved with minimal effort, especially in livestock identification such as cattle. Numerous systems and algorithms have been developed to recognize cattle, ranging from body shape, fur patterns, to specific parts of the cattle. This research ai...

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Main Authors: Sulthon Zamroni, Giri Wahyu Wiriasto, Bulkis Kanata
Format: Article
Language:Indonesian
Published: Islamic University of Indragiri 2024-11-01
Series:Sistemasi: Jurnal Sistem Informasi
Online Access:https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/4598
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author Sulthon Zamroni
Giri Wahyu Wiriasto
Bulkis Kanata
author_facet Sulthon Zamroni
Giri Wahyu Wiriasto
Bulkis Kanata
author_sort Sulthon Zamroni
collection DOAJ
description In today's digital era, any task or problem can be solved with minimal effort, especially in livestock identification such as cattle. Numerous systems and algorithms have been developed to recognize cattle, ranging from body shape, fur patterns, to specific parts of the cattle. This research aims to develop a cattle muzzle identification system using convolutional neural networks method with Alexnet architecture and to identify the factors that can decrease the accuracy of prediction results. The results of this research can help cattle farmers manage their livestock data more effectively, as traditional identification methods can cause discomfort and stress to the cattle. This research also serves as a reference for future researchers in developing cattle recognition research. Additionally, this research can be used to support insurance programs such as Cattle Farming Insurance (AUTS) to protect farmers from losses due to cattle theft and death. Cattle recognition through their muzzles using the CNN method can produce relatively high results. By slightly modifying the AlexNet architecture, this system can recognize cattle with an accuracy of 85%..
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id doaj-art-a4097bb6ed2649feb360a6f2d82e5adc
institution Kabale University
issn 2302-8149
2540-9719
language Indonesian
publishDate 2024-11-01
publisher Islamic University of Indragiri
record_format Article
series Sistemasi: Jurnal Sistem Informasi
spelling doaj-art-a4097bb6ed2649feb360a6f2d82e5adc2025-01-08T03:10:27ZindIslamic University of IndragiriSistemasi: Jurnal Sistem Informasi2302-81492540-97192024-11-011362479249310.32520/stmsi.v13i6.4598904Recognizing Cow Muzzle Patterns using the Convolution Neural Network (CNN) AlgorithmSulthon ZamroniGiri Wahyu WiriastoBulkis KanataIn today's digital era, any task or problem can be solved with minimal effort, especially in livestock identification such as cattle. Numerous systems and algorithms have been developed to recognize cattle, ranging from body shape, fur patterns, to specific parts of the cattle. This research aims to develop a cattle muzzle identification system using convolutional neural networks method with Alexnet architecture and to identify the factors that can decrease the accuracy of prediction results. The results of this research can help cattle farmers manage their livestock data more effectively, as traditional identification methods can cause discomfort and stress to the cattle. This research also serves as a reference for future researchers in developing cattle recognition research. Additionally, this research can be used to support insurance programs such as Cattle Farming Insurance (AUTS) to protect farmers from losses due to cattle theft and death. Cattle recognition through their muzzles using the CNN method can produce relatively high results. By slightly modifying the AlexNet architecture, this system can recognize cattle with an accuracy of 85%..https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/4598
spellingShingle Sulthon Zamroni
Giri Wahyu Wiriasto
Bulkis Kanata
Recognizing Cow Muzzle Patterns using the Convolution Neural Network (CNN) Algorithm
Sistemasi: Jurnal Sistem Informasi
title Recognizing Cow Muzzle Patterns using the Convolution Neural Network (CNN) Algorithm
title_full Recognizing Cow Muzzle Patterns using the Convolution Neural Network (CNN) Algorithm
title_fullStr Recognizing Cow Muzzle Patterns using the Convolution Neural Network (CNN) Algorithm
title_full_unstemmed Recognizing Cow Muzzle Patterns using the Convolution Neural Network (CNN) Algorithm
title_short Recognizing Cow Muzzle Patterns using the Convolution Neural Network (CNN) Algorithm
title_sort recognizing cow muzzle patterns using the convolution neural network cnn algorithm
url https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/4598
work_keys_str_mv AT sulthonzamroni recognizingcowmuzzlepatternsusingtheconvolutionneuralnetworkcnnalgorithm
AT giriwahyuwiriasto recognizingcowmuzzlepatternsusingtheconvolutionneuralnetworkcnnalgorithm
AT bulkiskanata recognizingcowmuzzlepatternsusingtheconvolutionneuralnetworkcnnalgorithm