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US Patent 10949972 Analyzing operational data influencing crop yield and recommending operational changes

Patent 10949972 was granted and assigned to X (company) on March, 2021 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Applicant
X (company)
X (company)
Current Assignee
X (company)
X (company)
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10949972
Date of Patent
March 16, 2021
Patent Application Number
16236743
Date Filed
December 31, 2018
Patent Citations Received
‌
US Patent 12073356 Systems and methods for supply chain intelligence
3
‌
US Patent 11604947 Generating quasi-realistic synthetic training data for use with machine learning models
‌
US Patent 11570331 Image processing apparatus, image processing method, and storage medium
Patent Primary Examiner
‌
Tahmina N Ansari
Patent abstract

Implementations relate to diagnosis of crop yield predictions and/or crop yields at the field- and pixel-level. In various implementations, a first temporal sequence of high-elevation digital images may be obtained that captures a geographic area over a given time interval through a crop cycle of a first type of crop. Ground truth operational data generated through the given time interval and that influences a final crop yield of the first geographic area after the crop cycle may also be obtained. Based on these data, a ground truth-based crop yield prediction may be generated for the first geographic area at the crop cycle's end. Recommended operational change(s) may be identified based on distinct hypothetical crop yield prediction(s) for the first geographic area. Each distinct hypothetical crop yield prediction may be generated based on hypothetical operational data that includes altered data point(s) of the ground truth operational data.

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