Raven Industries, Inc.

Mcube, Inc.

Raven Industires, Inc.

John Earl Acheson

Stephen Filip Fjelstad

Douglas Samuel Prairie

Jared Ernest Kocer

Alex John Weidenbach

Joseph M Kelly

A dynamic yield monitor system includes a plurality of instruments to measure harvested crop characteristics while a crop is in-flow within a harvester elevator. The system includes a volume instrument that measures a harvested crop volume from the in-flow harvested crop within the harvester elevator, and a weight instrument that measures a harvested crop weight from the in-flow harvested crop within the harvester elevator. Optionally, the system includes other instruments including a moisture and temperature instrument. A receiver and processing node communicates with the instrument. The receiver and processing determines variable harvested crop test weight based on at least the measured harvested crop volume and measured harvested crop weight of the in-flow crop. The receiver and processing node further determines a variable yield of the harvested crop based on the measured harvested crop volume, the measured harvested crop weight, and the variable harvested crop test weight.

Multi-variable yield monitor and methods for the same

A reaping based yield monitor system includes one or more reaping yield instruments configured for coupling with a harvester head. The one or more reaping yield instruments measure at least one crop characteristic of a harvested crop in sections of the harvester head. A yield monitor determines a variable yield of the harvested crop. An apportionment module apportions the variable yield of the harvested crop to the sections of the harvester head based on the at least one crop characteristic measured in each of the sections of the harvester head. In another example, a stand counting module counts a harvested standing crop with the one or more reaping yield instruments and a stand count output module output a harvested standing crop value based on one or more of the counted harvested standing crop or filtered measured values of a stand characteristic measured with the one or more reaping yield instruments.

Reaping based yield monitoring system and method for the same

The systems and methods described herein adjust harvest characteristics by selecting one or more harvest characteristics according to the location of a harvester within a field. For example, the selection includes determining the location of the harvester within the field, associating the location with a corresponding zone of a plurality of zones in the field where each of the plurality of zones corresponds to a respective crop planted within the field (for instance a hybrid type), and assigning one or more harvest characteristics to a harvest operation according to at least the corresponding zone and the respective crop within the corresponding zone. Harvest operations are conducted with the assigned one or more harvest characteristics. The systems and methods described repeat selecting the one or more harvest characteristics as the harvester changes location within the field according to further examples.

System and method for adjusting harvest characteristics

A system for measuring crop weight in a harvester elevator includes a receiver and processing node and one or more weight sensing instruments coupled to one or more paddles of the harvested elevator, respectively. The weight sensing instruments each include a weight sensor and a transmitter in communication with a receiver and processing node. The weight sensor is configured to dynamically measure the weight of a static harvested crop, relative to the sensor and corresponding paddle, as it ascends in the harvester elevator.

Harvester elevator in-flow weight sensor and methods for the same

A system for measuring crop moisture content in a harvester elevator includes a receiver and processing node and one or more moisture sensing instruments coupled to one or more paddles of the harvested elevator, respectively. The moisture sensing instruments each include a moisture sensor and a transmitter in communication with a receiver and processing node. The moisture sensor is configured to dynamically measure the moisture content of a static harvested crop, relative to the sensor and corresponding paddle, at ascends in the harvester elevator.

Remote moisture sensor and methods for the same

A computer-implemented method and device for determining a user position, implemented in a user handheld computing device programmed to perform the method. The method includes solving for the position of a user based on ranges, which are computed by estimating power loss between a user and a number of Wi-Fi Access Points. Embodiments of the present invention includes a method that is designed to accommodate the non-linear nature of solving a position solution using power estimates. This method includes solving a two-dimensional solution grid of position residuals, or magnitudes of error between true and computed ranges, using signal strength measurements from multiple Wi-Fi access points in order to determine local minima of the position residuals indicating a user position. Standard approaches in the area such as a Least Squares Solution overly simplify the non-linear components resulting in poor performance.

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Sioux Falls, SD, United States of America

John Earl Acheson