Jeffrey Bewley

1. Introduction Data integration and analysis are pivotal in modern dairy farming, enabling farmers to optimize operations, enhance productivity, and achieve sustainability goals [1]. However, the dairy industry, like many other industries, faces substantial obstacles in merging diverse data sources and leveraging them for actionable insights [2].

1. Introduction Dairy farmers and consultants are increasingly reliant on data to make data-driven decisions to improve animal production, health, welfare, and farm economic sustainability. However, the lack of standardized protocols for data generation and collection at the farm level creates significant downstream challenges, not only for farmers and consultants, but for the whole value chain.

Source: University of Kentucky By: Jeffrey Bewley, Ph.D. Maintaining a low bulk tank somatic cell count has always been a good dairy management strategy. Low somatic cell counts are associated with improved milk quality, increased shelf life and cheese yield after the milk leaves the farm, increased milk production, and reduced veterinary and drug costs. Recent market changes have led to an increased emphasis by milk buyers toward lowering bulk tank somatic cell counts at the farm level.