Predicting shelf life based on item specific metrics

This invention describes a computer system that predicts how long a product will stay fresh. It works by collecting information about the product, specifically from before it was harvested, and data about its surroundings. This information is then used to calculate a freshness score and estimate its shelf life, which can then help decide where to store it or how much it's worth.

Why it matters: Since 2018, machine learning and data integration capabilities have matured, making it far easier to process diverse sensor and pre-harvest data for accurate predictions.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedMachine learning, data integration, software system

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