By Scout Nelson
Hector Menendez, Assistant Professor and SDSU Extension Livestock Grazing Specialist, along with Julia T. Silva, Jordan M. Adams, Luis O. Tedeschi, and Karun Kaniyamattam, explain that livestock feeding systems are changing quickly as new technologies generate more data than ever before. Farmers now collect data from feed analysis, body weight records, automated feeders, and digital platforms. While this increase in data offers many opportunities, it does not always lead to better decisions.
Research from the National Animal Nutrition Program shows that livestock systems differ in how they manage and use data. Some farms rely on basic tools such as ration software and periodic records. Others use advanced systems like real-time monitoring, connected dashboards, and automated feeding equipment.
As data levels increase, systems also face new challenges. These include a higher demand for integration, more complex models, and greater operational risks. The key issue is not the amount of data, but how well it matches the nutrition model being used.
When farms adopt more advanced technologies, they can improve feed accuracy and animal performance. However, experts explain that these models must be updated to match new data conditions. Without proper updates, extra data may create errors instead of improving results.
Many nutrition models are built under specific research conditions. When applied to different farms with new tools, animal genetics, or feeding systems, these models may not work as expected. High-data systems may also face issues such as inconsistent data, sensor errors, and increased system complexity.
Because of this, feed management now depends on strong alignment between data collection, model design, and daily decisions. Farmers and advisors must ask important questions about how data is used, who checks system accuracy, and whether current models fit their operation.
Looking ahead, livestock systems will continue to adopt more data-driven tools. Success will depend on using data wisely rather than simply collecting more of it. Farms that align technology with practical decision making will be better prepared to improve efficiency, reduce waste, and support long-term sustainability in livestock production.
Photo Credit: gettyimages-digitalvision
Categories: South Dakota, Livestock