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US Patent 12073356 Systems and methods for supply chain intelligence

Patent 12073356 was granted and assigned to AgTools on August, 2024 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
AgTools
AgTools
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Current Assignee
AgTools
AgTools
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
120733560
Patent Inventor Names
Martha Montoya0
Gustavo Montoya0
Date of Patent
August 27, 2024
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Patent Application Number
173694450
Date Filed
July 7, 2021
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Patent Citations
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US Patent 11062223 Forecasting field level crop yield during a growing season
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US Patent 11769577 Decentralized identity authentication framework for distributed data
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US Patent 11263707 Machine learning in agricultural planting, growing, and harvesting contexts
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US Patent 10171564 Systems and methods for cloud-based agricultural data processing and management
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US Patent 10529036 Forecasting national crop yield during the growing season using weather indices
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US Patent 10694686 Generating digital models of crop yield based on crop planting dates and relative maturity values
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US Patent 10769733 Forecasting national crop yield during the growing season using weather indices
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US Patent 10949972 Analyzing operational data influencing crop yield and recommending operational changes
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Patent Primary Examiner
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Fateh M Obaid
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Patent abstract

A system gathers data from a plurality of sources across a wide geographic region, and produces from the gathered information output to a user, which output indicates to the user factors that may influence supply of product to, and/or operation of, a supply chain. Illustrative embodiments are able to determine that data in a previously received dataset has been changed by its corresponding data source, and subsequently update a corresponding data record maintained by the system. Illustrative embodiments train and employ one or more neural networks to identify anomalies in large datasets, and in some embodiments to predict the impact of various factors on crop production.

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