Grading of agricultural products via hyper spectral imaging and analysis

This invention grades agricultural products by scanning them with special light to capture their unique spectral "fingerprint." It then compares this fingerprint to a database of known product grades to assign a new grade. The patent's primary claim describes a method for *creating* this reference database, which involves first having humans grade products and then recording their spectral data.

Why it matters: Since 2010, advancements in machine learning and AI for image recognition and data classification have dramatically improved the ability to analyze complex spectral data and build robust comparison databases. Hyperspectral sensor technology has also become more accessible and compact, making industrial deployment more feasible.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHyperspectral sensor hardware, data processing software, machine learning.

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