Field Notes

Row-crop agronomy, grounded in field data

Satellite remote sensing, soil-sensor interpretation, and data behind real field decisions, written by Harva's agronomy team.

Satellite map of nitrogen-stressed zones in a corn field

Reading mid-season nitrogen gaps through satellite greenness

NDVI and greenness measures offer early clues, yet water stress and nitrogen deficiency can look alike. Learn to separate them before that distinction costs you at the elevator.

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Variable irrigation zones displayed on a field grid prescription map

Variable-rate irrigation grid prescriptions: choosing the right zone size

More variation appears in smaller zones, along with more sensor noise. We examine the tradeoffs Harva weighs in a weekly irrigation prescription.

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NDVI image of a crop field in the first three weeks

NDVI stand assessment limits in the first three weeks

At V1 and V2, satellites cannot count individual plants. Their role is to flag zones for a field walk, while ground truth remains decisive where stand estimates lose reliability.

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Soil EC map of compaction areas in a row-crop field

Tracing hidden compaction with soil EC maps in row-crop fields

Apparent electrical conductivity often points to an old plow pan or wheel-traffic compaction. Pair EC layers with sensor profiles to judge whether subsoiling pencils out.

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Corn field at tassel with a disease-assessment zone

Corn fungicide timing vs. rate: evidence from the VT-R1 window

For fungicide ROI, protecting the flag leaf during grain fill matters more than application rate. We review field trials and the timing signal from canopy humidity sensors.

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Soybean canopy satellite view at R3

Soybean canopy closure at R3 from above: full versus late closure

In our satellite models, canopy structure at pod set is the strongest predictor of final yield. We explain that correlation and what delayed closure signals about pod abortion risk.

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Dashboard of soil metrics for row-crop advice

Five soil metrics row-crop advisors should check weekly

Volumetric water content, soil temperature, and apparent EC each tell a different story. We offer a practical way to read all five metrics without getting lost in dashboards.

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Early-spring row-crop field showing the pre-plant burndown window

Earlier Burndown, Tighter Planting Windows

Earlier planting compresses the gap between burndown application and soil fit. We review how soil temperature and weed biomass together determine the optimal burndown date.

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Corn harvest with a combine header and grain moisture measurement

Corn drying cost thresholds and when extra drying no longer pays

At current propane prices, drying corn from 22 to 15 percent costs more per bushel than most growers realize. We examine the breakeven calculation and using sensor data to target black layer timing.

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Soil profile diagram showing moisture at multiple depths during drought

Separating drought stress from nutrient lockout with soil profiles

Late-season tip dieback and leaf roll may reflect water deficit or potassium deficiency caused by dry soil. Sensor depth profiles are the fastest way to distinguish them without pulling leaves for a lab.

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