In one aspect, an agricultural system is provided and includes an information gathering component, a first component and a second component. The information gathering component is configured to gather information pertaining to at least one agricultural characteristic and generate agricultural data associated with the gathered information. The agricultural data is transmitted over a network and used to generate an agricultural prescription, which is comprised of at least one agricultural characteristic and at least one agricultural action. The first component includes a network interface for receiving the agricultural prescription over the network and the second component is in communication with the first component. The second component is configured to receive the agricultural prescription from the first component and is configured to output the at least one agricultural action.

Agronomic systems, methods and apparatuses

A raster-based system for GNSS guidance includes a vehicle-mounted GNSS antenna and receiver. A processor provides guidance and/or autosteering commands based on GNSS-defined pixels forming a grid representing an area to be treated, such as a field. Specific guidance and chemical application methods are provided based on the pixel-defined treatment areas and preprogrammed chemical application prescription maps, which can include variable chemical application rates and dynamic control of the individual nozzles of a sprayer.

Raster-based contour swathing for guidance and variable-rate chemical application

The invention discloses a concave convex mixed complex polygon farmland unmanned aerial vehicle spraying operation flight path planning method. Starting from any feature point on the boundary of the polygon farmland, all feature points of the boundary of the polygon farmland are acquired sequentially, adjacent two points are connected by using a straight line sequentially according to the point acquisition sequence of the feature points, and an operation region of the boundary of the polygon farmland is generated; the longest edge of the boundary of the operation region is found out; a feature point farthest from the longest edge is found out; N flight path lines are drawn between the longest edge and the feature point farthest from the longest edge; coordinates of all boundary line segments crossed with the flight path lines and flight path line crossed points are obtained; the number of the crossed points between the flight path lines and the boundary line segments is judged, and when the number of the crossed points is larger than 2, flight path lines outside the operation region range are deleted; and starting from a flight path line nearest to the longest edge, the flight path lines and side flight lines are connected in sequence, and an S-shaped flight path planning line is obtained. The flight path of the concave convex mixed complex polygon farmland unmanned aerial vehicle spraying operation can be planned.

Concave convex mixed complex polygon farmland unmanned aerial vehicle spraying operation flight path planning method

A DGNSS-based guidance system, wherein a rover receiver first utilizes data from a master base station transceiver, a DGNSS reference network, or some other differential source to compute a differentially corrected location to establish a reference DGNSS relationship. Using this location and data observed only at the rover, the rover computes an internal set of differential corrections, which set is stored in computer memory, updated as necessary, and applied in future times to correct observations taken by the rover. As the rover enters into areas of other base station receiver reference networks, the rover transceiver will send positional information it receives from the master base station to the new, secondary base station. The secondary base station then calibrates its own reference information using information sent from the original master base station.

Portable base station network for local differential GNSS corrections

A sensor senses an attribute of a worksite at a location that is geographically spaced from a corresponding mobile machine. An operation is performed at the location, based upon the sensed attribute. An action signal is generated based on the effect data. An unmanned aerial vehicle communicates effect data, indicative of an effect of the operation at the location, to the mobile machine. The action signal can be used to control worksite operations.

UAV-based sensing for worksite operations

A system and method for managing the collection and processing of agricultural field data from a single location is provided. The system includes functionality to create workorders for the taking of samples at a predetermined location, transmit the sampling workorders to the equipment or operators at a job site, e.g., an agricultural field, and log the results of a completed sampling workorder. The system also includes functionality to transmit log data related to the taken samples to a laboratory and receive analysis information on the taken samples from the laboratory. The system then combines log data and analysis information on the taken samples for use in determining additional actions at the predetermined location.

System and method for collecting and processing agricultural field data

A GNSS system in combination with a hydraulically-actuated, airborne dispenser for a dry material crop dusting system to optimize the distribution of dry materials over a particular tract of land. A GNSS subsystem is included using at least one GNSS antenna and one GNSS receiver located on the aircraft. The aircraft is equipped with an electronic/hydraulic crop dusting subsystem connected to a GNSS CPU. The GNSS ranging signals received by the antennas are processed by a receiver and processor system for determining the vehicle's position and dynamic attitude in three dimensions (3D). The system is adapted for operation in a differential GNSS (DGNSS) mode utilizing a base station at a fixed location.

GNSS optimized control system and method

A system is provided for monitoring system and operational parameters on one or more pieces of machinery or equipment. The system can monitor the pieces of machinery or equipment in real time, i.e., the time delay between the taking of a measurement on a piece of equipment and its subsequent display in the system is within accepted standards, e.g., from about 1 second to about 1 minute depending on the type of measurement or data set being monitored. The system can also permit the tracking of the pieces of machinery or equipment and can enable the transfer, i.e., the sending and/or receiving, of information between the system and the pieces of machinery or equipment.

Remote management system for equipment

A system and method for collecting soil samples is provided that permits a user to develop or generate one or more paths in an agricultural field to collect soil samples with each soil core collection point along the path being identified. The agricultural field can be divided into management zones having similar productivity and each management zone can have a path with the identified collection points to collect samples for that management zone.

System and method for collecting soil samples

A system and method for managing workorders from a single location is provided. The system includes functionality to create workorders, to transmit workorders to equipment at a job site, e.g., an agricultural field, and to log the results of a completed workorder.

Jeffrey Allen Dearborn

Papers

System and method for collecting and processing agricultural field data

GNSS optimized control system and method

Remote management system for equipment

System and method for collecting soil samples

System and method for workorder management