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US 2023/0403968 A1Published application
Farming Machine Settings Database and Generation Thereof Using Computing Systems
AssigneeAGCO Corporation
InventorsJay Anthony Leininger, Jared J. Koch
Life of this patent
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Abstract
Described herein is a novel farming machine settings database as well as technologies for generating and updating the database using computing schemes such as schemes including artificial neural networks (ANNs) or, more specifically, convolutional neural networks (CNNs).
Claims20
A method, comprising:
- receiving via a communications network, by a remote computing system, agricultural information including prescribed operational settings for farming machines, crop variety information, and environmental information that includes weather condition factors and soil condition factors;
- recording, by the remote computing system, the agricultural information as first relational database elements in a relational database;
- determining, by the remote computing system, situational operational settings based on the recorded agricultural information;
- recording, by the remote computing system, the situational operational settings as second relational database elements in the relational database;
- linking, by the remote computing system, the second relational database elements to the first relational database elements according to inputs of the determinations of the situational operational settings;
- selecting, by the remote computing system, at least one setting of the recorded situational operational settings according to a database query based on or included in a request sent from a computer of a farming machine;
- and
- sending via the communications network, by the remote computing system, the at least one setting to the farming machine according to the request.
5 more elements
A system, comprising:
- a communications network;
- and
- a remote computing system, configured to:
- receive, via the communications network, agricultural information including prescribed operational settings for farming machines, crop variety information, and environmental information that includes weather condition factors and soil condition factors;
- record the agricultural information as first relational database elements in a relational database;
- determine situational operational settings based on the recorded agricultural information;
- record the situational operational settings as second relational database elements in the relational database;
- link the second relational database elements to the first relational database elements according to inputs of the determinations of the situational operational settings;
- select at least one setting of the recorded situational operational settings according to a database query based on or included in a request sent from a computer of a farming machine;
- and
- send, via the communications network, the at least one setting to the farming machine according to the request.
8 more elements
A method, comprising:
- receiving, by a remote computing system, agricultural information including prescribed operational settings for farming machines, crop variety information, and environmental information that includes weather condition factors and soil condition factors;
- recording, by the remote computing system, the agricultural information as first relational database elements in a relational database;
- determining, by the remote computing system, situational operational settings based on the recorded agricultural information;
- recording, by the remote computing system, the situational operational settings as second relational database elements in the relational database;
- selecting, by the remote computing system, at least one setting of the recorded situational operational settings according to a database query based on or included in a request sent from a computer of a farming machine;
- and
- sending, by the remote computing system, the at least one setting to the farming machine according to the request.
4 more elements
Dependencies are inferred from the claim text.