Abstract: A work machine includes a work machine actuator, a position sensor configured to sense a geographic position of the work machine on a worksite and a control system configured to receive an indication of a thematic map of the worksite that maps variable values to different geographic locations on the worksite, generate a set of clusters based on the variable values and a geospatial control zone constraint, identify, based on the set of clusters, a plurality of control zones that are correlated to the worksite and have associated setting values, and generate control signals to control the work machine actuator based on the geographic position of the work machine relative to the plurality of control zones and the setting values associated with the control zones.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: An information map is obtained by an agricultural system. The information map maps values of a characteristic at different geographic locations in a worksite. An in-situ sensor detects material consumption values as a mobile material application machine operates at the worksite. A predictive map generator generates a predictive map that maps predictive material consumption values at different geographic locations in the worksite based on a relationship between values of the characteristic in the information map and material consumption values detected by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: An apparatus for forming a plasma may include one or more coupling ports to accept a radiofrequency (RF) current. The apparatus may additionally include one or more coupling structures which may include one or more conductive loops to permit the RF current to conduct from at least a first portion of the one or more coupling ports to at least a second port of the one or more coupling ports. The one or more conductive loops may each be configured to exhibit a first value of inductance in the absence of the plasma and to exhibit a second value of inductance in the presence of the plasma. The one or more coupling structures may each include a reactive element, in which each reactive element is coupled to a corresponding one of the one or more conductive loops so as to form a corresponding number of coupling structures. Each RF coupling structure may have a resonant frequency that increases in response to the presence of the plasma.

Abstract: An information map is obtained by an agricultural system. The information map maps values of a characteristic at different geographic locations in a worksite. An in-situ sensor detects nutrient values as a mobile material application machine operates at the worksite. A predictive map generator generates a predictive map that maps predictive nutrient values at different geographic locations in the worksite based on a relationship between values of the characteristic in the information map and nutrient values detected by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: A priori georeferenced vegetative index data is obtained for a worksite, along with field data that is collected by a sensor on a work machine that is performing an operation at the worksite. A predictive model is generated, while the machine is performing the operation, based on the georeferenced vegetative index data and the field data. A model quality metric is generated for the predictive model and is used to determine whether the predictive model is a qualified predicative model. If so, a control system controls a subsystem of the work machine, using the qualified predictive model, and a position of the work machine, to perform the operation.

Abstract: An electronic data processor is configured to identify the component pixels of a harvestable plant component within the obtained image data of plant pixels of the one or more target plants. An edge, boundary or outline of the component pixels is determined. The data processor is configured to detect a size of the harvestable plant component based on the determined edge, boundary or outline of the identified component pixels. A user interface is configured to provide an aggregate, sectional yield, or per row yield based on a detected size of the harvestable plant component for the one or more target plants as an indicator of yield of the one or more plants or standing crop in the field.

Abstract: An off-road mobile work machine data capture system includes a robustly-identifiable sensor module having a task sensor that provides a task sensor signal indicative of a task. The system also includes a processor coupled to the robustly-identifiable sensor module that is configured to issue a challenge to the robustly-identifiable sensor module and compare a response from the robustly-identifiable sensor module to an expected response to authenticate the robustly-identifiable sensor module. The processor is further configured to generate an indication of authentication failure if the response from the robustly-identifiable sensor module does not match the expected response.

Abstract: A compliant mechanism tool for connector termination can be used to seat a rear body portion of a connector against or within a forward housing portion of the connector. Seating the rear body portion causes conductors, which are coupled to the rear body portion, to electrically couple with respective ones of contacts positioned with the forwarding housing. The compliant mechanism tool includes first and second handles that can be subjected to a squeezing motion causing connected first and second arms to propel a ram toward a head portion of the tool. The ram interfaces with the forward housing portion of the connector causing the forward housing to be pushed against the rear body portion causing seating of the rear body portion; motion of the forward housing is limited by a stop within the head portion of the tool.

Abstract: An adjustable power and data rail for static height and vertically adjustable desks. The adjustable power and data rail fits between the static height and vertically adjustable desks and expands as needed either horizontally or vertically to match the installation configuration with paired multiple desks. The power and data rail provides connectivity for each of the static height or vertically adjustable desks to data and power connectors.

Abstract: An electronic data processor is configured to estimate a spatial region of interest of plant pixels of one or more target plants in the obtained image data for a harvestable plant component and its associated harvestable plant component pixels of the harvestable plant component. The electronic data processor is configured to identify the component pixels of a harvestable plant component within the obtained image data of plant pixels of the one or more target plants. An edge, boundary or outline of the component pixels is determined. The data processor is configured to detect a size of the harvestable plant component based on the determined edge, boundary or outline of the identified component pixels. A user interface is configured to provide the detected size of the harvestable plant component for the one or more target plants as an indicator of yield of the one or more plants or standing crop in the field.

Abstract: A system for filling a feed mixer, the system comprising: a feed intake device configured to take in a feedstock from a stockpile; a feed processing system for processing the feedstock and directing the processed feedstock into a container of the feed mixer; and a controller associated with the feed processing system, the controller configured to control processing of the feedstock by the feed processing system based on a prescribed recipe.

Abstract: A surface mount module distributes electrical power and fiber optic data connectivity from a power fiber cable. The surface mount module includes at least one port configured to provide fiber optic data connectivity with optical fibers that break out from the power fiber cable. The surface mount module further includes at least one port configured to distribute electrical power from electrical power wires of the power fiber cable. A power adapter is configured for fixation to the at least one port configured to distribute electrical power, and the power adapter is configured to receive an internal power connector at an interior side and to receive an external power connector at an exterior side.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: The present disclosure describes aspects of a machine-learned (ML) spectrum analysis configured to distinguish between a plurality of radioisotope types and/or a plurality of emission levels of respective radioisotope types within spectrum data. The ML spectrum analyzer may utilize an artificial neural network (ANN) having an output layer configured to produce prediction data for respective labels, each label corresponding to a respective radioisotope. The prediction data may be configured to quantify an amount of each respective radioisotope within a subject of the spectrum.

Abstract: A user equipment (UE) receives a reference signal from a base station and determines a pathloss based on the received reference signal. The UE further receive a downlink channel signal including an uplink resource assignment and a transmit power command. The UE transmits an uplink signal, wherein the uplink signal is transmitted using a transmit power level determined based on the pathloss, a format of the uplink signal, the uplink resource assignment and the transmit power command.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: A device for detecting wear of a wear member composed of electrically resistive material. The wear member comprises at least two electrodes separated from each other, where each electrode overlies, or is embedded in, an outer surface of the electrically resistive material. One of the electrodes is connected to a resistor at a measurement node to form a resistive voltage divider. A voltage measurement device measures a change in voltage at the measurement node, where the change is voltage is indicative of the degree of removal of resistive material from a face of the wear member and where the change in voltage is continuously variable and not limited to discrete wear levels.