Precision livestock technologies promise labor relief, earlier disease detection, and better risk management. But adoption remains uneven. Many technologies succeed in controlled pilots yet struggle in the fragmented, margin-constrained realities of commercial production, where workflows, infrastructure, and operational culture vary enormously across systems and producer segments.
Scalable adoption runs through understanding the producer first. This session will explore what it takes to move from promising demonstrations to real-world adoption at scale: how producers make decisions, what workflows technology must fit into, what simplicity and interoperability actually mean in practice, and what commercially credible proof looks like across diverse production systems.