Beef Producers Could Have More Precise Way to Manager Herds in the Future

Feb 12, 2021

Beef producers in the future could have a more precise way to determine the productivity of their cattle, thanks to a collaboration between Mizzou Engineering and the College of Agriculture, Food and Natural Resources (CAFNR). The project aims to provide a better understanding of how a herd’s environment and management impact productivity, Decker said. Researchers will predict factors such as a cow’s size—surface area to volume ratio—skeletal structure, fat resources and hair coat using 3-D image data. Further, they will create DNA predictions of these traits. This is important for successful beef production, which relies on continual reproduction.

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Video: Turning Data into Better Decisions: BioCV's Intelligent Monitoring System for Modern Pork Producers

In this exclusive interview, Jens Kjaer, CEO of BioCV Inc., discusses the North American launch of the BioCV Intelligent Sow Monitoring System and how advanced sensor technology and machine learning are changing the way producers manage sow herds. Using smart ear tags that continuously monitor temperature, behavior, and movement, the system provides real-time alerts for heat detection, farrowing, fever, lameness, and other critical health events—often before they become visible to barn staff.

Kjaer explains how the technology helps producers improve breeding efficiency, reduce non-productive days, identify health challenges earlier, and better support sows during farrowing. He also shares how BioCV's predictive analytics can help operations optimize labor, improve piglet survival, reduce sow losses, and enhance overall productivity in today's increasingly data-driven swine industry.

Learn how this innovative technology is giving producers actionable insights on every sow, every day, helping teams move from reactive management to proactive decision-making while improving both animal welfare and profitability. www.biocv.info/lisa-sow