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IntelinairEmergence and Stand Estimation Software

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Detect early and mid-season plant emergence problems to identify row-by-row divergence from full crop stands—all with pinpoint insight on equipment skips and replant decisions.

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  • Identify the precise location and size of emergence problem area(s)
  • Evaluate emergence issue cause(s) to determine replant feasibility
  • Proactive and effective in-season equipment evaluation
  • More precise yield estimation and Variable Rate guidance

What do you get when you combine Computer Vision (CV), Machine Learning (ML) and Hi-Res hyperspectral images? You get the equivalent of Superman using x-ray vision to monitor every field, every acre, and every plant. When correlated with additional sensor information like "as planted" data, soil, topography, weather and equipment, you can easily identify areas in need of replant.