Farms.com Home   News

Integrated Livestock-Cropping Systems and Soil Health to Highlight Central Grasslands Rec Field Day

By Kevin Sedivec

Improving soil health of cropland using livestock and controlling buckbrush are among the topics that will be covered during the annual field day July 14 at North Dakota State University’s Central Grasslands Research Extension Center near Streeter, North Dakota. 

The morning tour will focus on experiments using livestock and winter cereals in a corn-soybean rotation to assess soil health, livestock performance, crop production and economics. Attendees will also look at the role of soybeans as a pollinator and strip grazing cover crops using virtual fence, soil health and livestock performance on cropland.

The afternoon tour will include converting cropland to perennial forage crops for late-season grazing and a demonstration of soil health in action (a new program developed by NDSU Extension). The afternoon will conclude with a stop to look at a new experiment to manage buckbrush and tour the new livestock facility.

Source : ndsu.edu

Trending Video

What Successful AI Implementation Looks Like in the Protein Industry | Ben Allen, CEO of BinSentry

Video: What Successful AI Implementation Looks Like in the Protein Industry | Ben Allen, CEO of BinSentry

In this conversation, Ben Allen, CEO of BinSentry, explores what separates successful AI implementation from early experimentation across the protein industry. As producers begin integrating artificial intelligence into their operations, the most effective implementations share common themes: strong data foundations, practical use cases, and a focus on solving real operational challenges. Ben discusses why data quality and integration are essential for AI to deliver meaningful results, and why technology alone is not enough. Successful adoption also depends heavily on people, training, and company culture, ensuring teams understand how to use new tools and trust the insights they provide. Looking ahead, the conversation highlights the steps protein producers can take today—from improving data infrastructure to embracing digital tools—to position their operations for long-term success in an increasingly AI-driven industry.