International Business Machines Corporation
INTERACTION NEURAL NETWORK FOR PROVIDING FEEDBACK BETWEEN SEPARATE NEURAL NETWORKS

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Abstract:

A method for providing feedback between separate neural networks to predict crop yield of a polyculture by combining the crop yield predictions from the neural networks is described. The method includes configuring a set of neural networks, each neural network in the set of neural networks predicting crop yield for a respective crop from a set of crops based on a set of crop growth time series, one crop growth time series for each respective crop, the set of crops being grown in a polyculture. A crop simulator generates the set of crop growth time series based on application rates of farm inputs that are provided to the crop simulator. The method further includes determining a predicted crop yield of the polyculture at a timepoint after a predetermined duration by iteratively changing and applying application rates of farm inputs based on the crop growth time series.

Status:
Application
Type:

Utility

Filling date:

29 Dec 2020

Issue date:

30 Jun 2022