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Patent drawing for Crop yield estimation using agronomic neural network
US 20,200,334,518 A1
Business & commerce US 20,200,334,518 A1 Expired

Crop yield estimation using agronomic neural network

This invention describes a computer system that predicts how much a crop will yield. It works by feeding various agricultural data, including specific crop genome sequences, environmental conditions, and farming practices, into a series of specialized neural networks. A main neural network then combines the insights from these individual networks, along with historical yield maps, to generate a final yield prediction.

Why it matters: Since 2020, both the availability of large-scale genomic data and the efficiency of deep learning models, especially for sequence analysis, have advanced significantly. This makes the specific genomic analysis described in the claims more practical and powerful.

Status
ExpiredProtection ended and was never renewed
How hard to build
SpecializedNeural network software, data pipelines

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