Body Weight Estimation in Holstein × Zebu Crossbred Heifers: Comparative Analysis of XGBoost and LightGBM Algorithms
Yazarlar (9)
Jose Herrera Camacho Universidad Michoacana De San Nicolás De Hidalgo
Cem Tırınk Iğdır Üniversitesi, Türkiye
Rosa Inés Parra Cortés Universidad De Ciencias Aplicadas Y Ambientales
Dr. Öğr. Üyesi Lütfi BAYYURT Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Rashit Uskenov Saken Seifullin Kazakh Agrotechnical University
Karlygash Omarova Saken Seifullin Kazakh Agrotechnical University
Aizhan Makhanbetova Saken Seifullin Kazakh Agrotechnical University
Kadyrbai Chekirov Kyrgyz-Turkish Manas University
Alfonso Juventino Chay-Canul Universidad Juárez Autónoma De Tabasco
Makale Türü Açık Erişim Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Veterinary Medicine and Science (Q2)
Dergi ISSN 2053-1095 Dergi Bilgileri (2025)
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili Türkçe Basım Tarihi 05-2025
Cilt / Sayı / Sayfa 11 / 4 / – DOI 10.1002/vms3.70422
Makale Linki https://doi.org/10.1002/vms3.70422
UAK Araştırma Alanları
Özet
This study evaluates the effectiveness of XGBoost and LightGBM algorithms for estimating the live weight of Holstein×Zebu crossbred heifers. The study compares the performance of both algorithms using a wide range of biometric measurements and tests various hyperparameter settings. The research results show that the XGBoost algorithm provides almost perfect agreement with an R2 value of 0.999 on the training set and high performance with an R2 value of 0.986 on the test set. The LightGBM algorithm also achieved effective results with R2 values of 0.986 and 0.981 on both training and test sets. The machine learning algorithms used in the current study stand out as having the potential to provide a practical and economical solution for live weight estimation in livestock enterprises and especially for herd management applications in rural areas through input variables such as body measurements, milk ...
Anahtar Kelimeler
body weight prediction | crossbred heifer | LightGBM | machine learning | XGBoost
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Yöksis 3
Web of Science 8
Scopus 10
PubMed 5
Body Weight Estimation in Holstein × Zebu Crossbred Heifers: Comparative Analysis of XGBoost and LightGBM Algorithms