Precision Agriculture

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Zeroing in on Nitrogen Efficiency with In-Season Adjustments

Whether using high-tech crop imagery or intuition, in-season nitrogen applications should be adjusted to the crop’s potential as well as future conditions for maximum yield and minimal risk.
With today's sky-high nitrogen (N) prices, nobody wants to apply more N to their crops than is needed. But on the other hand, commodities are commanding a pretty penny, so leaving yield on the table is also ill-advised.
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Ahead of the Curve

Field Tests Underway for Electric Planter

Iowa start-up Salin 247 is field testing an autonomous electric drive unit for no-tilling corn and soybeans.
With a lifetime of farming experience and degrees in agronomy and economics, Dave Krog says he’s trying to whittle variable and fixed costs from today’s equipment outlays with an electric, autonomous drive unit aimed squarely at the 24-row planter market.
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Drone in a Box

[Video] Easy Aerial’s Drone-in-a-Box Automates Crop Scouting

Easy Aerial is bringing its autonomous drone-in-a-box solution to agriculture. The drone can autonomously take off, fly, scout, spray, land and charge itself, providing farmers with an autonomous solution for monitoring crops plant by plant. The box processes and stores data from the drone mission. Easy Aerial’s drone-in-a-box is available for purchase or lease.
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Best of the Web

No-Till Highlights: Week of April 6, 2022

No-Till Farmer editors encounter a variety of articles, social media posts, podcasts and videos that offer a unique look at the grower's realm from the lofty digital realm. Here is our favorite content from the past week from across the web. “No-Till Farmer's Best of the Web" is brought to you by Mixmate by PRAXIDYN.
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NDSU Measuring Precision Agriculture Data Use

Farmers and ranchers control access to their land, machinery and equipment, and other tangible assets, but the property rights of data are less clear. A group of researchers at North Dakota State University wants to understand the viewpoints of those involved in collecting and using precision agriculture data.


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