Study on the Influence of PCA Pre-Treatment on Pig Face Identification with Random Forest

To explore the application of a traditional machine learning model in the intelligent management of pigs, in this paper, the influence of PCA pre-treatment on pig face identification with RF is studied. By this testing method, the parameters of two testing schemes, one adopting RF alone and the othe...
Ausführliche Beschreibung

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Autor*in:	Hongwen Yan [verfasserIn] Songrui Cai [verfasserIn] Erhao Li [verfasserIn] Jianyu Liu [verfasserIn] Zhiwei Hu [verfasserIn] Qiangsheng Li [verfasserIn] Huiting Wang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	RF PCA individual identification intelligent management of pig breeding

Übergeordnetes Werk:	In: Animals - MDPI AG, 2011, 13(2023), 9, p 1555
Übergeordnetes Werk:	volume:13 ; year:2023 ; number:9, p 1555

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/ani13091555

Katalog-ID:	DOAJ090391209

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authorswithroles_txt_mv	Hongwen Yan @@aut@@ Songrui Cai @@aut@@ Erhao Li @@aut@@ Jianyu Liu @@aut@@ Zhiwei Hu @@aut@@ Qiangsheng Li @@aut@@ Huiting Wang @@aut@@
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callnumber-first	S - Agriculture
author	Hongwen Yan
spellingShingle	Hongwen Yan misc SF600-1100 misc QL1-991 misc RF misc PCA misc individual identification misc intelligent management of pig breeding misc Veterinary medicine misc Zoology Study on the Influence of PCA Pre-Treatment on Pig Face Identification with Random Forest
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topic_title	SF600-1100 QL1-991 Study on the Influence of PCA Pre-Treatment on Pig Face Identification with Random Forest RF PCA individual identification intelligent management of pig breeding
topic	misc SF600-1100 misc QL1-991 misc RF misc PCA misc individual identification misc intelligent management of pig breeding misc Veterinary medicine misc Zoology
topic_unstemmed	misc SF600-1100 misc QL1-991 misc RF misc PCA misc individual identification misc intelligent management of pig breeding misc Veterinary medicine misc Zoology
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title	Study on the Influence of PCA Pre-Treatment on Pig Face Identification with Random Forest
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title_full	Study on the Influence of PCA Pre-Treatment on Pig Face Identification with Random Forest
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title_sort	study on the influence of pca pre-treatment on pig face identification with random forest
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title_auth	Study on the Influence of PCA Pre-Treatment on Pig Face Identification with Random Forest
abstract	To explore the application of a traditional machine learning model in the intelligent management of pigs, in this paper, the influence of PCA pre-treatment on pig face identification with RF is studied. By this testing method, the parameters of two testing schemes, one adopting RF alone and the other adopting RF + PCA, were determined to be 65 and 70, respectively. With individual identification tests carried out on 10 pigs, accuracy, recall, and f1-score were increased by 2.66, 2.76, and 2.81 percentage points, respectively. Except for the slight increase in training time, the test time was reduced to 75% of the old scheme, and the efficiency of the optimized scheme was greatly improved. It indicates that PCA pre-treatment positively improved the efficiency of individual pig identification with RF. Furthermore, it provides experimental support for the mobile terminals and the embedded application of RF classifiers.
abstractGer	To explore the application of a traditional machine learning model in the intelligent management of pigs, in this paper, the influence of PCA pre-treatment on pig face identification with RF is studied. By this testing method, the parameters of two testing schemes, one adopting RF alone and the other adopting RF + PCA, were determined to be 65 and 70, respectively. With individual identification tests carried out on 10 pigs, accuracy, recall, and f1-score were increased by 2.66, 2.76, and 2.81 percentage points, respectively. Except for the slight increase in training time, the test time was reduced to 75% of the old scheme, and the efficiency of the optimized scheme was greatly improved. It indicates that PCA pre-treatment positively improved the efficiency of individual pig identification with RF. Furthermore, it provides experimental support for the mobile terminals and the embedded application of RF classifiers.
abstract_unstemmed	To explore the application of a traditional machine learning model in the intelligent management of pigs, in this paper, the influence of PCA pre-treatment on pig face identification with RF is studied. By this testing method, the parameters of two testing schemes, one adopting RF alone and the other adopting RF + PCA, were determined to be 65 and 70, respectively. With individual identification tests carried out on 10 pigs, accuracy, recall, and f1-score were increased by 2.66, 2.76, and 2.81 percentage points, respectively. Except for the slight increase in training time, the test time was reduced to 75% of the old scheme, and the efficiency of the optimized scheme was greatly improved. It indicates that PCA pre-treatment positively improved the efficiency of individual pig identification with RF. Furthermore, it provides experimental support for the mobile terminals and the embedded application of RF classifiers.
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title_short	Study on the Influence of PCA Pre-Treatment on Pig Face Identification with Random Forest
url	https://doi.org/10.3390/ani13091555 https://doaj.org/article/8f458790a0e14794b796a0f9c082b8e1 https://www.mdpi.com/2076-2615/13/9/1555 https://doaj.org/toc/2076-2615
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up_date	2024-07-03T14:30:01.967Z
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Study on the Influence of PCA Pre-Treatment on Pig Face Identification with Random Forest

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