Feed Additive

Feed additives are substances added to animal feed to improve animal health, productivity, and reduce environmental impact. Current research focuses on developing predictive models, often employing AI and machine learning techniques like Gaussian processes and federated learning, to optimize additive efficacy and minimize methane emissions in livestock, particularly dairy cows. This research is significant because it allows for more targeted and efficient use of feed additives, leading to improved agricultural sustainability and economic benefits. Furthermore, studies are exploring the underlying cognitive biases in human and AI decision-making regarding additive versus subtractive problem-solving approaches in optimizing systems.