WHITEPAPER
Soybeans are a critical global commodity, yet detecting defects remains challenging. Visual inspection often misses subtle defects when mixed with healthy beans, while laboratory analysis creates costly bottlenecks.
ProfilePrint’s patent-pending “video scanning methodology” takes multiple quick snapshots as samples rotate in the analyser, successfully detecting sporadic defects that could otherwise be lost.
High accuracy in classifying five distinct soybean categories enabling quality teams to identify specific defect types that impact commercial value
Reliable detection of sporadic defects mixed with healthy beans addressing the real-world challenge where defective soybeans often appear scattered throughout a batch
Linear correlation between defect quantity and healthy bean percentage providing traders with a consistent quality metric for objective grading and fair pricing
Learn how soybean companies can streamline quality assessment and make faster and more confident sourcing decisions with AI-powered defect detection that complements expert evaluation.
Read more in the white paper.
(Available in English and Portuguese)
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