An AI framework introduces InComfort-Index and EASI-Index, then uses XGBoost to predict cattle feed intake at animal level (RMSE 1.38 kg/day) and pen level (RMSE 0.14 kg/day-animal) from 16.5 million samples across 19 experiments.
Negative relationship between dry matter intake and the temperature-humidity index with increasing heat stress in cattle: A global meta-analysis
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AI-based framework to predict animal and pen feed intake in feedlot beef cattle
An AI framework introduces InComfort-Index and EASI-Index, then uses XGBoost to predict cattle feed intake at animal level (RMSE 1.38 kg/day) and pen level (RMSE 0.14 kg/day-animal) from 16.5 million samples across 19 experiments.