Early prediction of final body weight in Hanwoo steers using machine and deep learning models

These results demonstrated that LSTM effectively captured temporal dependencies in sequential data, enabling more accurate BW forecasting under commercial conditions. While I6 achieved the highest prediction accuracy, the 3-6 month predictions (I4 and I5) demonstrated reasonably high accuracy, which could provide a practical timeframe for farm-level management and planning. This approach could be utilized in evidence-based decision-making in Hanwoo production by providing reliable predictions well ahead of slaughter.