At the intersection of tradition and innovation lies the future of dairy farming, which is increasingly intertwined with artificial intelligence (AI) capabilities. AI has emerged as a transformative force as the industry responds to marketplace pressures and technological advancements. While integrating AI in dairy practices presents challenges, it also offers significant opportunities.

With current milk prices, dairy farmers are trying to lower costs, while optimizing their return opportunities. With the average cost of raising a dairy replacement heifer at over $2,500, according to a 2019 Cornell Cooperative Extension survey, heifer inventory management and raising the right replacements is a critical part of that plan.

Former heavyweight boxing champion Mike Tyson famously said, “Everyone has a plan until they get punched in the face.” While he was referring to strategy in the boxing ring, the same holds true for starting lightweight (sometimes called peewee) calves.

The dairy industry is facing numerous challenges with a pressing need for sustainable practices that optimize resource utilization and improve profitability. Residual feed intake (RFI) provides a powerful tool for evaluating feed efficiency in dairy production.

Demand for high-quality beef has been increasing at a rapid pace for the last decade, with no decline in sight. Prior to that, the percentage of cattle grading USDA Prime averaged about 2% to 4% nationally. Today, USDA Prime is often seen in 10% to 15% or more of cattle.

In the U.S., agricultural greenhouse gas emissions were about 9.9% of the nation’s total emissions according to the 2022 report by the EPA. Methane emissions from enteric fermentation and manure management represent 26.9% and 9.2%, respectively, of total methane emissions from anthropogenic activities in the nation.