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US Patent 11755966 Modeling field irrigation with remote sensing imagery

Patent 11755966 was granted and assigned to Indigo (company) on September, 2023 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Indigo
Indigo
Current Assignee
Indigo
Indigo
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11755966
Patent Inventor Names
Elisabeth Florence Ilona Baldo
Date of Patent
September 12, 2023
Patent Application Number
17704773
Date Filed
March 25, 2022
Patent Citations
‌
US Patent 9563945 Object image recognition and instant active response with enhanced application and utility
‌
US Patent 9582002 Robotic platform and method for performing multiple functions in agricultural systems
‌
US Patent 9582873 Active imaging systems for plant growth monitoring
‌
US Patent 9629306 Plot placement systems and methods
‌
US Patent 9658201 Method for automatic phenotype measurement and selection
‌
US Patent 9745060 Agricultural crop analysis drone
‌
US Patent 9756844 Method and system to map biological pests in agricultural fields using remotely-sensed data for field scouting and targeted chemical application
‌
US Patent RE46968 Evaluating commodity conditions using aerial image data
...
Patent Primary Examiner
‌
Tejal Gami
CPC Code
‌
G06Q 10/067
‌
A01G 25/16
‌
G06V 10/82
‌
G06Q 50/02
‌
Y02A 90/10
‌
G06Q 10/04
‌
G06V 20/188
‌
G06Q 10/06

Detection of field irrigation through remote sensing is provided. In various embodiments, at least one time series of index rasters for a geographic region is read. A time series of weather data for the geographic region is read. The at least one time series of index rasters and the time series of weather data are divided into a plurality of time windows. The at least one time series of index rasters is composited within each of the plurality of time windows, yielding a composite index raster for each of the at least one time series of index rasters in each of the plurality of time windows. The time series of weather data is composited within each of the plurality of time windows, yielding composite weather data in each of the plurality of time windows. The composite index rasters and composite weather data are provided to a trained classifier. A pixel irrigation label for each pixel of the composite index rasters is obtained therefrom. Each pixel irrigation label indicates the presence or absence of irrigation at the associated pixel.

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