Seasonal temperature shifts directly affect the energy required to ventilate dairy facilities. In this article, we compared seasonal temperature data from 2020-2024 to those from 2000-2004.
Dr. Akdeniz introduces a new online calculator designed to support ventilation decisions in dairy barns.
While natural ventilation works well under moderate weather conditions, it often becomes inadequate during periods of heat stress, especially in newer barns with more than four rows of stalls. These conditions have led to a growing interest in mechanical ventilation systems, which can provide more consistent and controllable airflow inside dairy facilities.
Automation is no longer a distant vision. Technology is being used to fill labor gaps, trim costs, increase efficiency, and boost precision. Success, though, still begins with a solid plan.
Light plays a critical role in regulating cow behavior, milk production, and reproductive cycles.
With thoughtful planning and maintenance, tunnel ventilation can be a valuable system for modern dairy operations.
The program shared insights into the complexities and considerations when adopting farm automation. These include the significant investment required, infrastructure changes, the necessity of technical support, and risks alongside benefits.
Routine farm activities such as feeding, cleaning, and vehicle movement all contribute to ambient noise.
Recent advancements in dairy farming technology are enhancing efficiency, animal welfare, and farm management through precision livestock technologies, automation, and data integration.
Ventilation is vital in dairy barns for maintaining air quality, removing heat and moisture, and providing a comfortable environment for cows. Ventilation can be achieved through mechanical or natural systems that utilize thermal buoyancy and wind pressure.
Proper housing is essential for the health and growth of dairy and beef calves. It provides a clean, dry, and comfortable environment to support healthy development and minimize disease risks.
Reducing enteric methane emissions from dairy cattle” showing an overall of the project objectives, our efforts in collecting methane data in research and commercial farms, some traits definitions, and preliminary results on methane prediction using milk spectra data. Guillermo Martinez Boggio, Post Doctoral Research Associate at UW-Madison, is the featured speaker