US 2026/0231847 A1 · SYSTEMS AND METHODS FOR AUTOMATED CROP LOAD MANAGEMENT

Abstract

Systems, methods, and articles for generating actions to meet one or more target metrics for crops based on crop data received via images. The systems disclosed herein generate target metrics for at least one crop and images depicting at least one aspect of at least one crop. The systems disclosed herein further identify aspects of the at least one crop based on the images and generate an indicator regarding the growth of the at least one crop based on the identified aspects. The growth indicator and identified aspects are used to predict whether one or more target metrics will be met by the at least one crop. An action to meet the target metrics is generated based on the growth indicator, the prediction, and the identified aspects.

Claims32

Dependent claims

A method of operating a computer system, comprising:

determining one or more target metrics for at least one crop;
receiving a first set of one or more images, each image of the first set of one or more images including a depiction of at least one aspect of the at least one crop;
identifying one or more aspects of the at least one crop based on the first set of one or more images;
generating at least one indicator regarding the growth of the at least one crop based on the identified one or more aspects of the at least one crop;
determining whether the one or more target metrics have been met based on the at least one indicator regarding the growth of the at least one crop and the one or more target metrics;
and
generating one or more actions to meet the one or more target metrics based on the determination of whether the one or more target metrics have been met.

4 more elements

A system comprising:

a camera;
at least one processor;
and
at least one memory coupled to the at least one processor, the at least one memory having computer-executable instructions stored thereon that, when executed by the at least one processor, cause the system to:
generate, based on user input, one or more target metrics of at least one crop;
receive, via the camera, a first set of one or more images of at least one aspect of the at least one crop;
identify one or more aspects of the at least one crop based on the first set of one or more images;
generate at least one indicator regarding the growth of the at least one crop based on the one or more aspects of the at least one crop;
determine whether the one or more target metrics have been met based on the at least one indicator regarding the growth of the at least one crop and the one or more target metrics;
and
generate one or more actions to meet the one or more target metrics based on the determination.

8 more elements

One or more storage devices collectively storing a crop load management data structure, the data structure comprising:

information indicating a crop;
information indicating an optimal crop load for the crop;
information indicating one or more images of the crop;
information indicating a number of at least one aspect of the crop;
and
information indicating one or more target metrics,
such that the information indicating the one or more images of the crop are usable to determine the number of at least one aspect of the crop, and
such that the information indicating the optimal crop load, the information indicating the number of at least one aspect of the crop, and the information indicating the one or more target metrics are usable to generate one or more actions to meet the one or more target metrics.

5 more elements

Dependencies are inferred from the claim text.

Systems and methods for automated crop load management

Life of this patent

Systems and methods for automated crop load management

Life of this patent

Abstract

Claims32