Intelligent Agricultural Solutions LLC

Appareo Systems, LLC

Agco Corporation

Precision Planting, Inc.

Marshall T Bremer

Nicholas Lloyd Butts

Bradley K Schleusner

Daniel R Wood, Jr

Barry Douglas Batcheller

Bradley Richard Thurow

Paul Nystuen

Flemming Schøler

Adam Reich

Jonathan Louis Tolstedt

Jonathan L Tolstedt

Nicholas L Butts

Jeffrey Lee Johnson

David Batcheller

Joseph A Heilman

Robert J Volesky

Jeffrey L Johnson

Benjamin J Wolbaum

Michael D Schmidt

Todd A Meidinger

David C Batcheller

Daniel Wood Jr

Nickolas Butts

Jr Wood Daniel R

A spray nozzle for an agricultural sprayer includes a first actively controlled valve configured to control flow through the spray nozzle. A first pressure sensor is disposed upstream of the valve and a second pressure sensor is disposed downstream of the valve. The position of a valve member of the valve can be sensed, and a size of a restrictive orifice defined by the valve can be determined based on the sensed position of the valve member. A controller is configured to determine a flow rate through the valve based on a difference between a first pressure reading from the first pressure sensor and a second pressure reading from the second pressure sensor.

Pressure-based flow meter for a spray nozzle

An acoustic band-pass filter assembly includes an inlet, a microphone configured to receive acoustic energy from the inlet, and a plurality of resonator chambers disposed in series between the inlet and the microphone and configured to transmit acoustic energy between the inlet and the microphone. Each of the plurality of resonator chambers has a different cross-sectional area.

Acoustic band-pass filter assemblies, wireless blockage monitors, and related methods

A spray system includes nozzles spaced along a distribution line. Each nozzle actuates the position of one or more internal valves based on a spray command received from a system control module. Sensors generate position information regarding the actuation of the valves. The actual valve positions are compared to expected valve positions to determine a deviation between the two. The deviation can be compared to a threshold to determine a status of that nozzle. A normal nozzle status can be generated based on the deviation being less than the threshold. An abnormal nozzle status can be generated based on the deviation being equal to or exceeding the threshold.

Nozzle fault detection

A continuously variable nozzle system includes a nozzle body () with an inlet and an outlet. A conduit is defined between the inlet and the outlet by a series connection of components which includes a flow meter (). The flow meter () has a chamber () with internal helical splines () that are configured to interact with a spray liquid passing through the chamber () and create a cyclone-like effect. A sphere () is located inside the chamber () for free movement along a circular path (). A sensor is located outside of the chamber () and configured to detect motion of the sphere () and generate an output () signal in response to detected motion.

Continuously-variable nozzle system with integrated flow meter

A spray pattern monitoring system includes a spray sensor disposed proximate an outlet of a spray nozzle. The spray sensor has one or more optical sensors configured to emit directional light, such as laser pulses, towards the expected position of a liquid spray emitted from the nozzle. The spray sensor can detect the absence or presence of the liquid spray based on returns of the directional light to the optical sensor.

Spray pattern monitoring

A profiling machine includes an inclinometer and a displacement sensor. The inclinometer is configured to sense an incline of the profiling machine on a surface relative to the acceleration vector of gravity. The displacement sensor is configured to sense the distance that profiling machine has traversed along the surface. The profiling machine is configured to calculate and generate a surface profile of the surface based on incline data from the inclinometer and displacement data from the displacement sensor.

Inclinometer-based surface profilometry

An innovative spraying system, comprising features such as a weather station that senses environmental factors that may affect spraying operations, a system for creating and distributing droplets of a uniform and appropriate size, a flow management system that would allow the sprayer to control nozzle rate and direction individually, a high-rate flow system capable of filling the sprayer at rates of up to at least 400 gallons per minute, a modular chemical cartridge system, in which various chemicals are stored in pre-loaded, easy to install cartridges, a direct injection system, mixing chemicals and water as needed, optionally based on sensed changing conditions, electrostatic application of chemical to optimize the amount of chemical applied to plant matter.

Innovative spraying system

A harvesting machine capable of automatic adjustment, comprising a plurality of acoustic material flow sensors, a control system, a processor, and application software, wherein the plurality of acoustic material flow sensors are mounted internal to the harvesting machine at points of crop material flow and are capable of sensing an amount of crop material passing by them. The control system operates in a cause-and-affect mode for interactively enabling manual or automatic responses to Mass Material Distribution (MMD) information and equipment-related performance parameters. An interactive combine control method is also provided.

Harvesting machine capable of automatic adjustment

A grain quality sensor comprising a photosite array, an illumination source, a filter, and an electronics module, wherein the illumination source directs light onto a crop sample, wherein the filter limits passage of light into different parts of the photosite array such that certain locations on the photosite array only receive certain wavelengths of light reflected or fluoresced by the crop sample, wherein an electronics module is electrically connected to the photosite array and capable of determining which parts of the photosite array received light and the wavelengths of the light received, wherein the electronics module can analyze the optical data received by the photosite array, and wherein the analysis of the optical data is used to determine the composition of the crop sample.

Grain quality sensor

A crop mass predictive sensor, comprising an imaging device, a laser-based device such as a LIDAR, a first radar emitting a frequency of energy that is absorbed by plant mass, and a second radar emitting a frequency of energy that passes through plant mass without being absorbed, wherein the imaging device, laser-based device, first radar, and second radar are focused on the crop material in front of an agricultural vehicle, and the information gathered from the imaging device, laser-based device, first radar, and second radar is used to calculate an estimated mass for the crop material that is about to enter the agricultural vehicle.

Look-ahead crop mass predictive sensor

A grain quality sensor comprising a lens, a filter, a photosite array, an illumination source, and an electronics module, wherein the illumination source directs light containing a known set of wavelengths onto a crop sample, wherein the lens picks up light reflected by the crop sample and directs it into the filter, which allows light to pass into different parts of the photosite array such that certain locations on the photosite array only get certain frequencies of the reflected light, wherein the electronics module is electrically connected to the photosite array and capable of determining which parts of the photosite array received light and what frequency the light received was, wherein the electronics module can analyze the optical data received by the photosite array, and wherein the analysis of the optical data is used to determine the composition of different parts of the crop sample.

A crop quality sensor, comprising an illumination source, an imaging device, and a processor executing application software. The illumination source is shone onto a crop sample, and an image is taken with the imaging device of the illuminated crop sample. The software executing on the processor is used to analyze the image to identify the outlines of individual kernels and to identify which of those outlines contain a specular highlight, indicative that the kernel is whole and unbroken, while the absence of such a specular highlight is indicative of a broken kernel.

Crop quality sensor based on specular reflectance

A harvesting machine capable of automatic adjustment, comprising a plurality of acoustic material flow sensors, a control system, a processor, and application software, wherein the plurality of acoustic material flow sensors are mounted internal to the harvesting machine at points of crop material flow and are capable of sensing an amount of crop material passing by them, wherein the control system is capable of adjusting a plurality of internal elements of the harvesting machine, wherein the software is hosted on the processor, and the processor is operatively coupled to the control system and the acoustic material flow sensors, wherein the software uses information sensed by the acoustic material flow sensors to determine if the internal elements of the harvesting machine are set for optimal machine performance, and the software sends commands to the internal elements of the harvesting machine in order to improve the machine performance.

Growing community of inventors

Fargo, ND, United States of America

Marshall T Bremer