Abstract: A grading system is disclosed. The grading system may include sampling probes. The grading system may include sensors, to collect information of a material within a container, wherein the sampling probes deliver the material to the sensors. The grading system may include a support structure to position the sampling probes above the container. The grading system may include motors coupled to the sampling probes to actuate the sampling probes. The grading system may include a controller including processors to execute a set of program instructions stored in memory to cause the processors to cause the motors to actuate the sampling probes such that the sampling probes are inserted into the container at one or more locations to collect the information of the material within the container, receive the information collected by the sensors and grade the material within the container based on the information collected by the sensors.

Abstract: A self-monitoring and self-controlling smart irrigation system is provided. The smart irrigation system may include a plurality of tower control units, which tower control units include one or more processors, one or more memory units, and communication circuitry. The tower control units may be configured to determine one or more operational conditions of the smart irrigation system, to communicate to other tower control units the operational conditions, and to make adjustments based on the operational conditions. The tower control units may be configured for expedient and efficient replacement and maintenance in that they may be readily detachable from the smart irrigation system.

Abstract: A system for proximity-based analysis for operational tracking includes one or more processors. The one or more processors receive event blocks, which include information associated with an operation. The one or more processors are further configured to generate a set of queue cycles based on the received event blocks. Each queue cycle includes at least a starting and ending event block. The one or more processors are further configured to perform a correlation analysis between the set of queue cycles and the set of evidence artifacts, where each artifact is compared to each queue cycle and assigned a correlation score for each artifact-queue cycle pair. The one or more processors are further configured to determine a representative queue cycle by identifying the queue cycle with the highest quality score, which will be stored in a database for subsequent retrieval along with the corresponding evidence artifact.

Abstract: A liquid monitoring system may include a monitoring device configured to be positioned at a surface of a confined liquid body. The monitoring device may include a housing including walls defining a cavity. The monitoring device may include an internal sensing sub-system enclosed within the cavity. The internal sensing sub-system may include one or more liquid monitoring sensors configured to monitor a level, temperature, or quality of the confined liquid body. The liquid monitoring system may be configured to receive a set of liquid monitoring data from the one or more liquid monitoring sensors. The liquid monitoring system may be further configured to determine one or more liquid measurement values based on set of liquid monitoring data. The one or more liquid measurement values may include a liquid level measurement value, a temperature measurement value, or a liquid quality measurement value for the confined liquid body.

Abstract: A system for proximity-based analysis for operational tracking includes one or more processors. The one or more processors receive event blocks, which include information associated with an operation. The one or more processors are further configured to generate a set of queue cycles based on the received event blocks. Each queue cycle includes at least a starting and ending event block. The one or more processors are further configured to perform a correlation analysis between the set of queue cycles and the set of evidence artifacts, where each artifact is compared to each queue cycle and assigned a correlation score for each artifact-queue cycle pair. The one or more processors are further configured to determine a representative queue cycle by identifying the queue cycle with the highest quality score, which will be stored in a database for subsequent retrieval along with the corresponding evidence artifact.

Abstract: A sensor system is described. The sensor system includes one or more sensor nodes. The sensor nodes are communicatively coupled to a server by way of a network. The sensor nodes may be communicatively coupled to the network by a cellular connection or a LoRa connection to a gateway. The sensor node may measure a variety of information associated with a transport environment, a confined animal feeding environment, or another agricultural environment.

Abstract: A sensor system is described. The sensor system includes one or more sensor nodes. The sensor nodes are communicatively coupled to a server by way of a network. The sensor nodes may be communicatively coupled to the network by a cellular connection or a LoRa connection to a gateway. The sensor node may measure a variety of information associated with a transport environment, a confined animal feeding environment, or another agricultural environment.

Abstract: Implementations directed to providing a computer-implemented method comprising receiving, from a motion sensing device, a plurality of image frames that includes information regarding a plurality of animals housed in a group-housed environment, determining a coordinate space of the group-housed environment based on an analysis of a first image frame of the image frames, generating, based on the analysis of the first image frame, an ellipsoid model for each animal based on defined surface points for each animal weighted according to a likely proximity to a crest of a spine of the respective animal, and tracking a position and an orientation of each animal within the image frames by enforcing shape consistency of the ellipsoid models, and adjusting the position of each of the ellipsoid models based on the defined surface points for each animal and a maximum likelihood formulation of a movement distance for each animal.

Abstract: A self-monitoring and self-controlling smart irrigation system is provided. The smart irrigation system may include a plurality of tower control units, which tower control units include one or more processors, one or more memory units, and communication circuitry. The tower control units may be configured to determine one or more operational conditions of the smart irrigation system, to communicate to other tower control units the operational conditions, and to make adjustments based on the operational conditions. The tower control units may be configured for expedient and efficient replacement and maintenance in that they may be readily detachable from the smart irrigation system.

Abstract: Described herein is a flexible piezoresistive switch sensor responding only to a minimum threshold compression deformation force. The switch sensor comprises a non-porous housing that separates an external environment from an internal environment; one or more decoupled electrodes comprising or formed of a flexible conductor; a non conductive insulating spacer layer enforcing the one or more decoupled electrodes in bending or twisting forces, while allowing electrode coupling due to compression; a piezoresistive layer decoupled from the electrodes via the insulating spacer layer; and an elastomeric polymer layer comprising one or more buckling or spring elements configured to separate a minimum required compression force on the piezoresistive layer and the non-conductive insulating layer.

Abstract: Implementations directed to providing a computer-implemented method comprising receiving, from a motion sensing device, a plurality of image frames that includes information regarding a plurality of animals housed in a group-housed environment, determining a coordinate space of the group-housed environment based on an analysis of a first image frame of the image frames, generating, based on the analysis of the first image frame, an ellipsoid model for each animal based on defined surface points for each animal weighted according to a likely proximity to a crest of a spine of the respective animal, and tracking a position and an orientation of each animal within the image frames by enforcing shape consistency of the ellipsoid models, and adjusting the position of each of the ellipsoid models based on the defined surface points for each animal and a maximum likelihood formulation of a movement distance for each animal.