Machine learning optimization through randomized autonomous crop planting

Number of patents in Portfolio can not be more than 2000

United States of America

PATENT NO 12250894
APP PUB NO 20230054908A1
SERIAL NO

17408398

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Abstract

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Systems and methods automate the design and execution of randomized experiments. Portions of a field are planted using an agricultural vehicle configured to randomly vary planting parameters when planting a portion of the field. A resulting crop outcome across each portion or sub-portion of the field is observed. A training set of data is generated that includes the varied planting parameters and the associated crop outcomes for each portion of the field. A machine-learned model is trained using the training set of data and is configured to predict a crop outcome for a portion of the field based on historical and forecast conditions and a set of planting parameters applied to a portion of the field. For subsequent iterations, for a target portion of the field, the machine-learned model can be applied to identify a set of planting parameters for planting the target portion of the field to optimize a desired crop outcome.

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Patent Owner(s)

Patent OwnerAddress
DEERE & COMPANYONE JOHN DEERE PLACE MOLINE IL 61265

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Bowman, Angela L Waukee, US 1 3
Stellpflug, Michael D Cary, US 1 3

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