Target Soil Temps For Safe Planting
This week Ken goes through the decision making processes he uses to determine whether or not it is safe to start planting corn.
Infield Planter Settings: Part 2
In this weeks segment we will be looking at how to evaluate your down pressure.
Infield Planter Settings: Changing the Way We Diagnose Field Conditions and Planter Settings
Over the next few weeks our segments will focus on; infield diagnostics, planter settings, the importance on running the right down pressure, closing wheel assembly, and adjusting to row cleaners to achieve uniform seeding depth and seed to soil contact.
Planter Tip #5: Utilizing an Electric Motor in Planter Prep
[vc_row][vc_column width="1/1"][vc_video link="http://youtu.be/5fKGSgohAqA"][vc_column_text]Brad shows how to utilize an electric motor to check bearings, chains, and shaft alignment on the planter.[/vc_column_text][/vc_column][/vc_row]
Planter Tune-Up Tip #4: Properly Setting Disk Openers
In this episode Technology Tuesday, Brad walks through how to ensure disk openers are properly set on some of the more popular brands.
Planter Tune-Up Tip #3
Brad goes through how to check seed tube wear and how to ensure your row units are properly aligned.
Planter Setup Tip #2: Properly Setting Your No-Till Coulter
Brad discuss how to ensure that your No-Till Coulter is set properly.
Technology Tuesday: Identifying Management Zones As An Entry Into VRT
This week’s session walks you through identifying management zones. As yield monitors become more prevalent, many of our clients are moving into variable rate, the importance of properly identifying management zones is greatly intensified.
Technology Tuesday: Identifying Management Zones and Kriging Yield Data Part 2
In this episode Isaac further examines properly setting the legend and the pitfalls of Kriged data when attempting to identify management zones.
The Pitfalls of Using Kriged Yield Data
In this episode Crop-Tech Consulting Agronomist, Isaac Ferrie, shows how using kriged or smoothed yield data can actually hide discrepancies or flaws in the yield data and misrepresent the precision of the monitor calibration process.