Prescription and data service offerings continue to grow, with most services requiring farmers to provide precision ag data in order to receive recommendations and other valuable information. Data quality is essential since poor quality data can lead to incorrect decisions. Plus, it’s well known that data quality has lacked over the years in the U.S. Ohio State ag engineer John Fulton discusses quality issues with data layers and how to address them, including how to identify data errors. He also provides an example of how the merger of agronomic and machine data can improve on-farm evaluations.

Scott Shearer says precision ag technologies continue to drive much of the iron development for North American farm equipment manufacturers. High on the list of value-added improvements is larger, faster and more efficient equipment.

Scott Shearer says big data has the potential to generate the next big productivity gains in agriculture. The Ohio State University ag engineer and precision specialist will highlight trends affecting the application of big data to agricultural production.

It’s common for no-tillers managing an efficient, smaller operation to think that they don’t have enough mass or acreage to support GPS and precision technology. PJ McCullough will help you understand how you might be able to benefit from the new technology era.