Review of artificial intelligence in dairy farming: A comprehensive perspective with emphasis on parasitology

Abstract

Artificial Intelligence (AI) is increasingly redefining modern dairy farming by enabling precision livestock management, early disease detection, and data-driven decision-making. While AI applications in dairy production and general animal health monitoring have expanded rapidly, their targeted use in veterinary parasitology remains comparatively underexplored. Parasitic diseases continue to impose substantial economic losses, compromise animal welfare, and contribute to antimicrobial and anthelmintic resistance in dairy systems. This review critically examines current and emerging applications of AI in dairy farming, with particular emphasis on parasitological diagnostics, surveillance, and control strategies. The integration of machine learning, deep learning, computer vision, and Internet of Things (IoT) technologies is discussed alongside existing challenges and future research directions. The review highlights AI’s potential to transform parasitic disease management from reactive treatment to predictive and precision-based control.