The Application of Artificial Neural Network (ANN) for Meat Classification Based on Near Infrared (NIR) Data Spectroscopy

Ayu Anisa Damayanti; Aulia M.T. Nasution; Selfi Stendafity; Nur Alfiani Shoffiana; Ayu Dian Hartati; Mia Dwi Susanti; Nabilah Kartika Putri

doi:10.1109/ICAMIMIA60881.2023.10427612

The Application of Artificial Neural Network (ANN) for Meat Classification Based on Near Infrared (NIR) Data Spectroscopy

Ayu Anisa Damayanti^*
, Suyanto
, Aulia M.T. Nasution
, Selfi Stendafity
, Nur Alfiani Shoffiana
, Ayu Dian Hartati
, Mia Dwi Susanti
, Nabilah Kartika Putri

^*Corresponding author for this work

Institut Teknologi Sepuluh Nopember

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Research has been conducted on the classification of different types of meat using Near Infrared (NIR) spectroscopy method. This research uses 6 types of meat, namely, beef, chicken, lamb, chicken liver, ear mushrooms (A. Auriculla), and oyster mushrooms (P. Ostretatus). The input data used to design the ANN (Artificial Neural Network) architecture is the wavelength and transmittance intensity of each sample type. ANN architecture was designed by creating 1 input layer, 8 hidden layers, and 1 output layer and getting the best results. The ANN classifies the different types of meat so that meat differentiation can be done. Classification gives an accuracy value 72.38% with an epoch of 500. This result is good to be able for distinguish and predict different types of meat. The result shows that ANN can contribute with high accuracy and precision for NIR spectroscopy data.

Original language	English
Title of host publication	2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	864-868
Number of pages	5
ISBN (Electronic)	9798350309225
DOIs	https://doi.org/10.1109/ICAMIMIA60881.2023.10427612
Publication status	Published - 2023
Event	2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Lombok, Indonesia Duration: 14 Nov 2023 → 15 Nov 2023

Publication series

Name	2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings

Conference

Conference	2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023
Country/Territory	Indonesia
City	Lombok
Period	14/11/23 → 15/11/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

ANN
Accuracy
Meat
NIR
Spectra

Access to Document

10.1109/ICAMIMIA60881.2023.10427612

Cite this

Damayanti, A. A., Suyanto , Nasution, A. M. T., Stendafity, S., Shoffiana, N. A., Hartati, A. D., Susanti, M. D., & Kartika Putri, N. (2023). The Application of Artificial Neural Network (ANN) for Meat Classification Based on Near Infrared (NIR) Data Spectroscopy. In 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings (pp. 864-868). (2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAMIMIA60881.2023.10427612

Damayanti, Ayu Anisa ; Suyanto, ; Nasution, Aulia M.T. et al. / The Application of Artificial Neural Network (ANN) for Meat Classification Based on Near Infrared (NIR) Data Spectroscopy. 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 864-868 (2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings).

@inproceedings{2c51e1682dda448daba7c53d0c42b664,

title = "The Application of Artificial Neural Network (ANN) for Meat Classification Based on Near Infrared (NIR) Data Spectroscopy",

abstract = "Research has been conducted on the classification of different types of meat using Near Infrared (NIR) spectroscopy method. This research uses 6 types of meat, namely, beef, chicken, lamb, chicken liver, ear mushrooms (A. Auriculla), and oyster mushrooms (P. Ostretatus). The input data used to design the ANN (Artificial Neural Network) architecture is the wavelength and transmittance intensity of each sample type. ANN architecture was designed by creating 1 input layer, 8 hidden layers, and 1 output layer and getting the best results. The ANN classifies the different types of meat so that meat differentiation can be done. Classification gives an accuracy value 72.38\% with an epoch of 500. This result is good to be able for distinguish and predict different types of meat. The result shows that ANN can contribute with high accuracy and precision for NIR spectroscopy data.",

keywords = "ANN, Accuracy, Meat, NIR, Spectra",

author = "Damayanti, \{Ayu Anisa\} and Suyanto and Nasution, \{Aulia M.T.\} and Selfi Stendafity and Shoffiana, \{Nur Alfiani\} and Hartati, \{Ayu Dian\} and Susanti, \{Mia Dwi\} and \{Kartika Putri\}, Nabilah",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 ; Conference date: 14-11-2023 Through 15-11-2023",

year = "2023",

doi = "10.1109/ICAMIMIA60881.2023.10427612",

language = "English",

series = "2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "864--868",

booktitle = "2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings",

address = "United States",

}

Damayanti, AA, Suyanto, , Nasution, AMT, Stendafity, S, Shoffiana, NA, Hartati, AD, Susanti, MD & Kartika Putri, N 2023, The Application of Artificial Neural Network (ANN) for Meat Classification Based on Near Infrared (NIR) Data Spectroscopy. in 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings. 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 864-868, 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023, Lombok, Indonesia, 14/11/23. https://doi.org/10.1109/ICAMIMIA60881.2023.10427612

The Application of Artificial Neural Network (ANN) for Meat Classification Based on Near Infrared (NIR) Data Spectroscopy. / Damayanti, Ayu Anisa; Suyanto, ; Nasution, Aulia M.T. et al.
2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. p. 864-868 (2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The Application of Artificial Neural Network (ANN) for Meat Classification Based on Near Infrared (NIR) Data Spectroscopy

AU - Damayanti, Ayu Anisa

AU - Suyanto,

AU - Nasution, Aulia M.T.

AU - Stendafity, Selfi

AU - Shoffiana, Nur Alfiani

AU - Hartati, Ayu Dian

AU - Susanti, Mia Dwi

AU - Kartika Putri, Nabilah

PY - 2023

Y1 - 2023

N2 - Research has been conducted on the classification of different types of meat using Near Infrared (NIR) spectroscopy method. This research uses 6 types of meat, namely, beef, chicken, lamb, chicken liver, ear mushrooms (A. Auriculla), and oyster mushrooms (P. Ostretatus). The input data used to design the ANN (Artificial Neural Network) architecture is the wavelength and transmittance intensity of each sample type. ANN architecture was designed by creating 1 input layer, 8 hidden layers, and 1 output layer and getting the best results. The ANN classifies the different types of meat so that meat differentiation can be done. Classification gives an accuracy value 72.38% with an epoch of 500. This result is good to be able for distinguish and predict different types of meat. The result shows that ANN can contribute with high accuracy and precision for NIR spectroscopy data.

AB - Research has been conducted on the classification of different types of meat using Near Infrared (NIR) spectroscopy method. This research uses 6 types of meat, namely, beef, chicken, lamb, chicken liver, ear mushrooms (A. Auriculla), and oyster mushrooms (P. Ostretatus). The input data used to design the ANN (Artificial Neural Network) architecture is the wavelength and transmittance intensity of each sample type. ANN architecture was designed by creating 1 input layer, 8 hidden layers, and 1 output layer and getting the best results. The ANN classifies the different types of meat so that meat differentiation can be done. Classification gives an accuracy value 72.38% with an epoch of 500. This result is good to be able for distinguish and predict different types of meat. The result shows that ANN can contribute with high accuracy and precision for NIR spectroscopy data.

KW - ANN

KW - Accuracy

KW - Meat

KW - NIR

KW - Spectra

UR - https://www.scopus.com/pages/publications/85186501108

U2 - 10.1109/ICAMIMIA60881.2023.10427612

DO - 10.1109/ICAMIMIA60881.2023.10427612

M3 - Conference contribution

AN - SCOPUS:85186501108

T3 - 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings

SP - 864

EP - 868

BT - 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023

Y2 - 14 November 2023 through 15 November 2023

ER -

Damayanti AA, Suyanto , Nasution AMT, Stendafity S, Shoffiana NA, Hartati AD et al. The Application of Artificial Neural Network (ANN) for Meat Classification Based on Near Infrared (NIR) Data Spectroscopy. In 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. p. 864-868. (2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings). doi: 10.1109/ICAMIMIA60881.2023.10427612

The Application of Artificial Neural Network (ANN) for Meat Classification Based on Near Infrared (NIR) Data Spectroscopy

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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