In this episode, Farm4Profit welcomes John Deere Combine Specialist Tim Ford along with Millennial Farmer Zach Johnson for an in-depth conversation about harvest automation.

You'll learn how predictive ground speed automation uses cameras, satellite imagery, and onboard sensors to maintain optimal combine performance throughout the day while reducing operator fatigue.

Topics include:

• Predictive Ground Speed Automation
• Harvest Settings Automation
• Camera-based crop detection
• Satellite imagery integration
• Green crop detection
• Down crop detection
• Machine learning in combines
• Fuel efficiency improvements
• Harvest productivity gains
• Operator fatigue reduction
• Future autonomous harvesting
• Return on investment for automation

Tim also explains how customer feedback directly shapes future software updates and how John Deere continuously improves automation through real-world testing with cooperating farmers.

Meanwhile, Zach shares firsthand experience using harvest automation on his own farm and discusses how quickly operators gain confidence once they understand how the technology works.

Want Farm4Profit Merch? Custom order your favorite items today!

https://farmfocused.com/farm-4profit/

Don’t forget to like the podcast on all platforms and leave a review where ever you listen!

Website: www.Farm4Profit.com

Shareable episode link: https://intro-to-farm4profit.simplecast.com

Email address: Farm4profitllc@gmail.com

Call/Text: 515.207.9640

Subscribe to YouTube: https://www.youtube.com/channel/UCSR8c1BrCjNDDI_Acku5Xqw

Follow us on TikTok: https://www.tiktok.com/@farm4profitllc

Connect with us on Facebook: https://www.facebook.com/Farm4ProfitLLC/

Farm4Profit Media is not a financial, legal, or tax advisor. Content is provided for informational purposes only, and we serve solely as a platform for third-party opinions. Any actions taken based on this content are at your own risk.

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.