Intelligent Agricultural Solutions LLC

Appareo Systems, LLC

Appareo Iot, LLC

Bradley K Schleusner

Marshall T Bremer

Nicholas Lloyd Butts

Barry Douglas Batcheller

Bradley Richard Thurow

Paul Nystuen

Adam Reich

Flemming Schøler

Joshua N Gelinske

Daniel R Wood, Jr

Adam A Reich

Keith Alsleben

Paul A Nystuen

Nickolas Butts

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

Predicting battery life including wirelessly receiving an initial state of a battery and a tracked event associated with the battery at a cloud-based server, and updating an estimate of the battery life using the tracked event.

Remote battery estimation

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 material flow sensor for a harvesting machine comprising an acoustic chamber comprising an impact plate and a housing, microphone, a pneumatic impulse line connecting the housing and the microphone, and an electronics module, wherein the housing is shaped so as to direct sound waves created by crop matter striking the impact plate into the pneumatic impulse line, wherein the sound waves move through the pneumatic impulse line into the microphone, which detects the sound waves and converts them into an electrical signal that is a representation of the sound power derived from the sound waves, which in turn is a representation of the mass of the crop matter striking the material flow sensor.

Acoustic material flow sensor

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

Bradley K Schleusner