Biofibre Cleanliness Rapid Assessment
Using AI/ML to assess material composition of bast fibre samples for high-value use cases
The Biofibre Cleanliness Rapid Assessment employs AI-driven semantic segmentation image processing algorithms to precisely analyze the ratio of shive/hurd to fiber, replacing laborious organoleptic methods and measuring fiber cleanliness for high-value use cases.
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