Study on the Influence of PCA Pre-Treatment on Pig Face Identification with Random Forest.
Animals (Basel)
; 13(9)2023 May 06.
Article
en En
| MEDLINE
| ID: mdl-37174592
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.
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1
Banco de datos:
MEDLINE
Tipo de estudio:
Clinical_trials
/
Diagnostic_studies
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Prognostic_studies
Idioma:
En
Año:
2023
Tipo del documento:
Article