Invention Grant
- Patent Title: Machine learning methods and systems for variety profile index crop characterization
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Application No.: US18088259Application Date: 2022-12-23
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Publication No.: US11783578B2Publication Date: 2023-10-10
- Inventor: William Kess Berg , Jon J. Fridgen , Jonathan Michael Bokmeyer , Andrew James Woodyard
- Applicant: ADVANCED AGRILYTICS HOLDINGS, LLC
- Applicant Address: US IN Indianapolis
- Assignee: ADVANCED AGRILYTICS HOLDINGS, LLC
- Current Assignee: ADVANCED AGRILYTICS HOLDINGS, LLC
- Current Assignee Address: US IN Indianapolis
- Agency: MARSHALL, GERSTEIN & BORUN LLP
- Agent Randall G. Rueth
- Main IPC: G06V20/10
- IPC: G06V20/10 ; G06N20/00 ; A01B79/00 ; G06F18/214

Abstract:
A system includes one or more processors; and one or more non-transitory, computer-readable media including instructions that, when executed by the one or more processors, cause the computing system to: receive a machine data set; process the machine data set with a trained machine-learned model to generate predicted variety profile index values; and cause a visualization to be displayed. A computer-implemented method includes receiving a machine data set; processing the machine data set with a trained machine-learned model to generate predicted variety profile index values; and causing a visualization to be displayed. A non-transitory computer-readable medium includes computer-executable instructions that, when executed by one or more processors, cause a computer to: receive a machine data set; process the machine data set with a trained machine-learned model to generate predicted variety profile index values; and cause a visualization to be displayed.
Public/Granted literature
- US20230126363A1 MACHINE LEARNING METHODS AND SYSTEMS FOR VARIETY PROFILE INDEX CROP CHARACTERIZATION Public/Granted day:2023-04-27
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