The rapidly evolving field of ag tech is being driven by a confluence of factors including automation and sensor densification of ag machinery, connection of this equipment to the internet, remote sensing via unmanned aerial systems and cloud computing. 

Mix in the availability of venture capital and keeping up with ag tech developments is challenging even for the most tech-savvy individuals.

But according to Dr. Scott Shearer, ag engineering professor at Ohio State, tools like artificial intelligence (AI) will enable dealers and manufacturers to mine existing data sets to extract patterns that will inform the decision-making process.

In today’s Precision Farming Dealer podcast, Scott dissects a few of the practical and progressive applications of machine learning technologies, highlighted by recent research that illustrates the in-field value of an evolving neural network.