THE Application of Artificial Intelligence Technologies in Livestock Management

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in precision livestock farming. This paper presents a comprehensive analysis of AI subfields—Machine Learning (ML), Deep Learning (DL), Artificial Neural Networks (ANN), Computer Vision (CV), Robotics, and Natural Language Processing (NLP)—and their applications in livestock management. Key innovations include early disease detection, estrus prediction, behavior analysis, and personalized feeding strategies. A simulation using a Multilayer Perceptron (MLP) model in Python is also included, estimating milk yield from biometric features such as heart rate and eye temperature. Findings highlight AI's potential for improving productivity, animal welfare, and sustainability