Rethinking Scales for Measuring Peanut Quality

Abstract

Peanut quality is influenced by a complex web of factors with scales ranging from the molecular to global weather patterns impacting climate. In some cases these quality factors are well understood, measured and controlled. In others, due to time, technological or resource limitations, this is not the case. Success in current and future markets will depend on the capacity of a supply base to reliably deliver the most important quality factors, which must be well defined for a given application and cost balanced. New technologies and systems are needed to more efficiently provide data across the relevant quality scales, which will allow for better predictive tools, drive more differentiation/value in the supply base, and catalyze new market applications.