Harvested yield is only as trustworthy as the plots behind it. Lodging, gaps, edge effects and harvester errors quietly corrupt the dataset, and without objective evidence these anomalies are hard to detect and even harder to defend when a plot is excluded.
Season-long PhenoScale imagery builds a plot-truth record: stand establishment, canopy uniformity, lodging extent and senescence for every plot. Hiphen Intelligence flags plots whose development is inconsistent with their measured yield.
Analysts can then correct or exclude compromised plots on documented grounds, cleaning the yield dataset and raising the statistical power of the whole trial.