Published online 10 June 2025
AN24154Predicting weaning weight in Hair goat kids: a comparative analysis of tree-based machine learning approaches using environmental and herd data
Necati Esener 
and Yavuz Kal
and Yavuz Kal
We applied tree-based machine learning techniques to predict weaning weight in Hair goat kids, offering a fresh approach to goat farming. We used these tree-based machine learning models to analyze a variety of data sources, such as herd features and environmental factors like weather and geography. We found that these methods achieved strong predictive performance, suggesting that incorporating diverse environmental data into weight prediction models can help goat farmers make better decisions, especially with the challenges posed by climate change.
