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US Patent 10564316 Forecasting national crop yield during the growing season

Patent 10564316 was granted and assigned to The Climate Corporation on February, 2020 by the United States Patent and Trademark Office.

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Is a
Patent
Patent

Patent attributes

Patent Applicant
The Climate Corporation
The Climate Corporation
Current Assignee
The Climate Corporation
The Climate Corporation
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10564316
Date of Patent
February 18, 2020
Patent Application Number
14675992
Date Filed
April 1, 2015
Patent Citations Received
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US Patent 11880894 Systems and methods for ecosystem credit recommendations
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US Patent 11776071 Machine learning in agricultural planting, growing, and harvesting contexts
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US Patent 11978072 Systems for management of location-aware market data
0
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US Patent 11915329 Interaction management in an online agricultural system
0
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US Patent 10747999 Methods and systems for pattern characteristic detection
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US Patent 11263707 Machine learning in agricultural planting, growing, and harvesting contexts
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US Patent 11710196 Information translation in an online agricultural system
0
Patent Primary Examiner
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Mohammed Shamsuzzaman
Patent abstract

A method for determining national crop yields during the growing season using regional agricultural data is provided. In an embodiment, determining national crop yields during the growing season may be accomplished using a server computer system that receives, via a network, agricultural data records that are used to forecast a national crop yield for a particular year. Within the server computer system an agricultural time series module receives one or more agricultural data records that represent a type of covariate data value related to plants at a specific geo-location at a specific time. The agricultural time series module then aggregates the agricultural data records to create one or more geo-specific time series that represent a specific geo-location over a specified time. The agricultural time series module creates one or more aggregated time series that represent geographic areas from a subset of the one or more geo-specific time series. A crop yield estimating module selects a representative feature from the one or more aggregated time series and creates a covariate matrix for each specific geographic area in computer memory of the server computer system. The crop yield estimating module determines a specific state crop yield for a specific year by using a linear regression module to calculate the specific state crop yield from the covariate matrix that represents the specific state for that specific year. The crop estimation module determines a national crop yield for the specific year by using the distribution generation module to calculate the national crop yield for a specific year from the sum of the specific state crop yields for the specific year nationally adjusted using a national yield adjustment module.

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