A system to receive data representing agronomic responses based on randomized replicated treatments conducted in test plots of agronomic environments, aggregate the data representing the agronomic responses into subsets of the data representing the agronomic responses, each subset of the data representing the agronomic responses associated with one of a number of performance zones, receive characteristics associated with a portion of a field and determine that the portion of the field represents a particular performance zone of the number of performance zones based on the characteristics associated with the portion of the field, recommend a particularized treatment level for a crop located in the portion of the field based on the particular performance zone, and communicate the particularized treatment level to a machine, the particularized treatment level to be applied to the portion of the field by the machine to optimize an agronomic response based on the particular performance zone.

Methods, apparatus, systems, and articles of manufacture to obtain diagnostic information for a system are disclosed. An example apparatus includes vehicle interface circuitry to obtain information corresponding to a detected problem of a vehicle, cloud interface circuitry to obtain, via a network communication, an output of a machine learning model executed based on the information, the output to indicate (a) a component associated with the detected problem, and (b) a probability associated with the component, instruction generation circuitry to generate instructions for performing a test on the component, and user interface control circuitry to cause the instructions to be displayed on a mobile device.

A method for planning spreading of a spreading material mixture with an agricultural spreading machine includes steps of: identifying individual components of the spreading material mixture, determining component-related setting parameters for the agricultural spreading machine for a planned spreading operation for several or all of the individual components of the spreading material mixture, and evaluating joint spreadability of the individual components of the spreading material mixture on the basis of the determined component-related setting parameters by a calculating device.

The disclosure refers to a method for operating an user terminal (7) of an agricultural machine, comprising: providing a user terminal (7) in a control system (3) of an agricultural machine, the user terminal (7) connected to a power supply (13) and configured to transmit, through a control bus (6), control signals to functional elements (10a; 10b) of the agricultural machine; applying a supply power, through a supply line, to the user terminal (7) with a voltage level provided by the power supply (13), the voltage level being an normal operation voltage level; determining at least one of a turn-on state of an ignition device of the agricultural machine and a drop of the supply power provided by the power supply (13) in the supply line to a reduced voltage level which is smaller than a minimum operation voltage level, the minimum operation voltage level being equal to or smaller than the normal operation voltage level and the drop of the supply power being caused by the ignition device switching into the turn-on state; in response to the determining, boosting the reduced voltage level to a boosted voltage level by a voltage upscaling device, the boosted voltage level reaching at least the minimum operation voltage level; operating, while the ignition device is in the turn-on state, the user terminal (7) with the power supply having the boosted voltage level; determining at least one of a turn-off state of the ignition device and termination of the drop of the supply power provided by the power supply (13) in the supply line; in response to the determining, terminating the boosting of the reduced voltage level; and applying the supply power to the user terminal (7) with the voltage level provided by the power supply (13), the voltage level being the normal operation voltage level. Further, an agricultural machine is provided.

An operation monitoring system and monitoring method are provided, the operation monitoring system is used for monitoring at least one agricultural machine, so as to control an operating range of the agricultural machine, the operation monitoring system includes a storage device and a processor, the processor recognizes at least one operating area and at least one non-operating area of an operation environment, and generates at least one boundary between the operating area and the non-operating area, the processor further generates least one electronic fence at the at least one boundary, the processor further acquires the position of the electronic fence and monitors a position of the agricultural machine, so as to monitor whether the agricultural machine is operating in the operating area on a side of the electronic fence, thereby controlling the operating range of the agricultural machine.

In an embodiment, yield data representing yields of crops that have been harvested from an agricultural field and field characteristics data representing characteristics of the agricultural field is received and used to determine a plurality of management zone delineation options. Each option, of the plurality of management zone delineation options, comprises zone layout data for an option. The plurality of management zone delineation options is determined by: determining a plurality of count values for a management class count; generating, for each count value, a management delineation option by clustering the yield data from and the field characteristics data, assigning zones to clusters, and including the zones in a management zone delineation option. One or more options from the plurality of management zone delineation options are selected and used to determine one or more planting plans. A graphical representation of the options and the planting plans is displayed for a user.

A distributed control system for use in an assembly line grow pod includes a master controller and a hardware controller device. The master controller includes a first processor and a first memory for storing a first set of instructions that dictates plant growing operations and a second set of instructions that dictates a plurality of distributed control functions. The hardware controller device is coupled to the master controller via a plug-in network interface. The hardware controller device includes a second processor and a second memory for storing a third set of instructions that dictate a selected control function of the plurality of distributed control functions. Upon the plug-in connection, the master controller identifies an address of the hardware controller device and sends a set of parameters defining a plurality of tasks relating to the selected control function.

In an embodiment, yield data representing yields of crops that have been harvested from an agricultural field and field characteristics data representing characteristics of the agricultural field is received and used to determine a plurality of management zone delineation options. Each option, of the plurality of management zone delineation options, comprises zone layout data for an option. The plurality of management zone delineation options is determined by: determining a plurality of count values for a management class count; generating, for each count value, a management delineation option by clustering the yield data from and the field characteristics data, assigning zones to clusters, and including the zones in a management zone delineation option. One or more options from the plurality of management zone delineation options are selected and used to determine one or more planting plans. A graphical representation of the options and the planting plans is displayed for a user.

A system for determining feed intake of a cow, the system including: at least one sensor configured to be positioned on a collar and/or ear-tag of a cow, wherein the sensor is configured to collect data associated with head movements of the cow, a processor in communication with a memory module, the memory module having stored thereon program code, the program code executable by the processor to: receive signals from the at least one sensor, preprocess the received signals by classifying different time blocks of the received signal into classes of behaviors of the cow, extract a plurality of features based, at least in part, on the classified time blocks, and calculate the feed intake of the cow based on the one or more extracted features.

In an embodiment, yield data representing yields of crops that have been harvested from an agricultural field and field characteristics data representing characteristics of the agricultural field is received and used to determine a plurality of management zone delineation options. Each option, of the plurality of management zone delineation options, comprises zone layout data for an option. The plurality of management zone delineation options is determined by: determining a plurality of count values for a management class count; generating, for each count value, a management delineation option by clustering the yield data from and the field characteristics data, assigning zones to clusters, and including the zones in a management zone delineation option. One or more options from the plurality of management zone delineation options are selected and used to determine one or more planting plans. A graphical representation of the options and the planting plans is displayed for a user.