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Assess Trial Quality at Scale with Standardized Traits

Standardized traits from UAV and ground imagery are combined into a per-plot and per-trial quality index (establishment, uniformity, canopy homogeneity, anomaly flags).

Assess Trial Quality at Scale with Standardized Traits

Problem plots surface automatically while the season is still running, and trial quality is documented rather than assumed

Every trial contains plots that should not be in the analysis: poor establishment, a gap, lodging, a border effect. They are usually discovered at the end, if at all, when it is too late to re-score or re-sample and the only option left is to argue about exclusions.

PhenoScale flights, complemented by Literal ground imaging where finer resolution is needed, deliver standardized traits on every plot: Plot Quality, Plot Quality Score, Plant Gaps Percentage, Plant Count and Plant Lodging. Cloverfield combines them into a per-plot and per-trial quality index with anomaly flags.

Problematic plots surface automatically while the season is still running, so teams can re-score, re-sample or exclude on objective grounds and enter analysis with a trial whose quality is documented rather than assumed.

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