Cnh Industrial Canada, Ltd.

Cnh Industrial America LLC

Autonomous Solutions, Inc.

Flexi-Coil Ltd.

Other

Cnh Canada, Ltd.

Cnh America LLC

Kennametal Inc.

Cnh Industrial Belgium Nv

James Wayne Henry

Joel John Octave Gervais

Radhey Lal Kushwaha

Joel John Gervais

Kevin Michael Smith

Martin Jean Roberge

Satyanarayan Panigrahi

Ethan Curtis Stephen Bent

Christopher Barrick

Tracey Duane Meiners

John Henry Posselius

Luca Ferrari

Taylor Chad Bybee

Klint J Peterson

Trevor Lawrence Kowalchuk

Gordon Anthony Engel

John C Endsley

Dean A Knobloch

Stewart Joseph Millie

Mark J Wileniec

Trevor Philip Stanhope

Michael George Kovach

Matthew R Sudbrink

Robert A Zemenchik

Joel Gervais

Christopher Alan Foster

Bret Todd Turpin

Riccardo Morselli

Jack Donald Turner

Kena Shah

Christopher Nicholas Warwick

Dennis George Thompson

Dennis William Chahley

Timothy R Blunier

Mark David Dilts

Graham Douglas Stuart

Joshua David Harmon

Don C Rowlett

Mark K Chow

Ross Jones

Gerry Steven Swab

Ethan Curtis Bent

Mohammad Vakil

Matthew Petruic

Evan Wolowski

Scott David Noble

Yong Deng

Alan Forbes

Nicholas Nahuel Andrejuk

Evan J B Wolowski

Nicholas Nahuel-Andrejuk

Matthew G Petruic

Graham Stuart

Kevin Douglas McKee

Ka Po Catherine Hui

Joel Denis

Jeffrey L Ferrin

Eric J Anderson

David Long

Brice Magarity

David John Powell

Gianluca Conti

Jamil Farhat

Jonathan Schuba

Joshua Cote

Brennan Crooymans

David R Hundeby

Brittany Schroeder

Blake Neudorf

Joshua D Knoblauch

Mark Ridley

Christopher A Lursen

Mark Anthony Gerein

Ross L Gingrich

Trevor Stanhope

Nathan E Isaac, Ii

Dave Wiebe

Anthony B Carbaugh

David Wieb

John C Endlsey

Joel Karstens

Dean Knobloch

Murray H Wood

Kenneth D Paluck

Mark Wilenieo

Tracey D Meiners

Nicholas Andrejuk

Laura Kimpton

Samuel Whittome

Joshua Knoblauch

Mark Wileniec

Ka Po Hui

A system for monitoring seed placement within the ground during the performance of a planting operation with a planting implement includes a row unit of that has a furrow opening assembly configured to create a furrow in the soil and a furrow closing assembly configured to close the furrow after the seeds have been deposited therein. Each seed is treated with a treatment applied after the seed is received within a component of the planting implement and before the furrow is closed around the seed, the treatment having a treatment dielectric property that is greater than a dielectric property of the seeds without the treatment. Additionally, the system includes a computing system configured to determine a seed placement parameter associated with the seeds as treated and planted underneath the surface of the soil based on data generated by a seed placement sensor supported relative to the row unit.

Systems and methods for monitoring seed placement within the ground

A system for monitoring seed placement within the ground during the performance of a planting operation includes a row unit including a furrow opening assembly configured to create a furrow in the soil and a furrow closing assembly configured to close the furrow after the seeds have been deposited therein. Particularly, the seeds are coated seeds that are coated with a coating having a coating dielectric property that is greater than a dielectric property of the seeds without the coating. The system further includes a seed placement sensor supported relative to the row unit and configured to generate data indicative of the coated seeds as planted underneath a surface of the soil. Additionally, the system includes a computing system configured to determine a seed placement parameter associated with the coated seeds underneath the surface of the soil based at least in part on the data generated by the seed placement sensor.

An agricultural system for detecting failure of a ground-engaging tool of an agricultural implement includes a ground-engaging tool supported on an agricultural implement, with the ground-engaging tool being configured to engage a field during an agricultural operation of the agricultural implement within the field. The system further includes a field profile sensor configured to generate data indicative of a profile of an aft portion of the field located rearward of the ground-engaging tool relative to a direction of travel of the agricultural implement. Additionally, the system includes a computing system configured to monitor the profile of the aft portion of the field during the agricultural operation based at least in part on the data generated by the field profile sensor and determine that the ground-engaging tool failed based at least in part on the profile of the field.

Agricultural system and method for detecting failure of a ground-engaging tool of an agricultural implement

A system for controlling an operation of an agricultural implement includes a ground-penetrating tool configured to penetrate soil within a field to a penetration depth. Furthermore, the system includes a sensor configured to capture data indicative of a compaction layer within the field as the implement travels across the field. Additionally, the system includes a computing system configured to generate a representation of a portion of the soil within the field based on the data captured by the sensor. Moreover, the computing system is configured to determine a position of a bottom surface of the compaction layer based on the generated representation. In addition, the computing system is configured to control the penetration depth of the ground-penetrating tool based on the determined position of the bottom surface of the compaction layer.

System and method for controlling the operation of an agricultural implement based on compaction layer position

In one aspect, a system for acquiring data associated with an agricultural field. The system includes an agricultural machine and a data acquisition (DAQ) module supported relative to the agricultural machine. The DAQ module includes a module housing and one or more sensing devices housed within the module housing. The one or more sensing device are configured to generate data associated with a condition of a field as the agricultural machine travels across the field. In addition, the system includes an air circulation system provided in operative association with the DAQ module that is configured to direct an airflow into an interior of the module housing for circulation therein.

Data acquisition module for an agricultural machine and related systems and assemblies

A method for determining residue coverage of a field includes receiving, with a computing system, a captured image depicting an imaged portion of a field from one or more imaging devices. Furthermore, the method includes determining, with the computing system, an image gradient orientation at each of a plurality of pixels within the captured image. Additionally, the method includes determining, with the computing system, a plurality of image gradient orientation densities associated with the captured image based on the determined image gradient orientations. Moreover, the method includes determining, with the computing system, a residue coverage parameter associated with the imaged portion of the field based on the determined plurality of image gradient orientation densities.

Systems and methods for determining residue coverage of a field

A system for determining field surface conditions may include a frame member and a ground engaging tool coupled thereto. The ground engaging tool may be configured to engage soil within a field as an agricultural implement is moved across the field. The system may further include a vision sensor having a field of view directed towards a portion of a surface of the field and being configured to capture vision-based data indicative of a field surface condition of the field. The system may also include a secondary sensor coupled to the ground engaging tool and configured to capture secondary data indicative of the field surface condition. Additionally, the system may include a controller configured to determine an initial surface condition as a function of the vision-based data and to adjust the initial surface condition based at least in part on the secondary data received from the secondary sensor.

System and method for determining field surface conditions using vision-based data and data from a secondary source

A soil monitoring system includes a controller having a memory and a processor. The controller is configured to instruct an actuator to drive a shank to move upwardly and downwardly, such that at least one soil monitoring sensor coupled to a lateral side of the shank moves in a cyclical pattern through soil as the shank is driven to move through the soil along a direction of travel. The controller is also configured to receive multiple sensor signals from the at least one soil monitoring sensor while the at least one soil monitoring sensor is at respective depths within the soil, in which each sensor signal is indicative of at least one soil property. In addition, the controller is configured to determine a vertical profile of the at least one soil property based on the sensor signals.

Soil monitoring system

In one aspect, a system for controlling an operation of a tillage implement being towed across a field by a work vehicle may include a tillage tool configured to engage soil and crop material present within a field as the tillage implement is being towed across the field by the work vehicle. Furthermore, the system may include a controller configured to receive an input associated with crop material present within the field and determine a location of a crop row relative to the tillage tool based on the received input. Additionally, the controller may be configured to control a direction of travel of the tillage implement based on the determined location of the crop row.

System and method for controlling the operation of a tillage implement based on crop row location

A method for determining soil clod size within a field includes receiving an image depicting an imaged portion of the field. Furthermore, the method includes identifying a soil clod present within the imaged portion of the field. Additionally, the method includes determining a maximum height of the identified soil clod above a soil surface of the field. Moreover, the method includes determining a maximum length of the identified soil clod. In addition, the method includes determining a radius of a sphere based on the determined maximum height and the determined maximum length, with the sphere including a first portion approximating a portion of the identified soil clod positioned above the soil surface and a second portion approximating a portion of the identified soil clod positioned below the soil surface. Furthermore, the method includes determining a size of the identified soil clod based on the determined radius.

System and method for determining soil clod size within a field

In one aspect, a system for determining soil clod size or soil surface residue coverage of a field may include an agricultural implement configured to perform a non-soil-working operation on the field as the agricultural implement is towed across the field. Furthermore, the system may include a non-contact-based sensor installed on the agricultural implement, with the non-contact-based sensor configured to capture data indicative of at least one of a soil clod size of the field or a soil surface residue coverage of the field. Additionally, a controller of the disclosed system may be configured to receive data from the non-contact-based sensor as the agricultural implement is moved across the field. Moreover, the controller may be configured to determine at least one of the soil clod size of the field or the soil surface residue coverage of the field based on the received data.

System and method for determining soil clod size or residue coverage of a field during a non-soil-working operation

A system for identifying soil layers within a field includes a non-contact-based sensor configured to capture data indicative of a subsurface soil layer within the field. Furthermore, the system includes a computing system communicatively coupled to the non-contact-based sensor. In this respect, the computing system is configured to determine a thickness of the subsurface soil layer in a vertical direction based on the data captured by the non-contact-based sensor. Moreover, the computing system is configured to identify the subsurface soil layer as one of a compaction layer or a B-horizon based on the determined thickness.

System and method for identifying soil layers within an agricultural field

A system for monitoring tilled floor conditions within a field includes a sensor frame and a tilled floor sensing assembly supported on the sensor frame. The assembly, in turn, includes a plurality of pins configured to be extended relative to the sensor frame such that each pin penetrates a top surface of the field. Furthermore, the assembly includes a plurality of position sensors, with each position sensor configured to capture data indicative of a position of a given pin of the plurality of pins relative to the sensor frame. Moreover, the assembly includes a plurality of force sensors, with each force sensor configured to capture data indicative of a force being applied to a given pin of the plurality of pins. Additionally, the data captured by the plurality of position sensors and the data captured by the plurality of force sensors is indicative of a tilled floor profile of the field.

System and method for monitoring tilled floor conditions using a tilled floor sensing assembly

In one aspect, a method for detecting terrain variations within a field includes receiving one or more images depicting an imaged portion of an agricultural field. The method also includes classifying a portion of the plurality of pixels that are associated with soil within the imaged portion of the agricultural field as soil pixels with each soil pixel being associated with a respective pixel height. Additionally, the method includes identifying each soil pixel having a pixel height that exceeds a height threshold as a candidate ridge pixel and each soil pixel having a pixel height that is less than a depth threshold as a candidate valley pixel. The method further includes determining whether a ridge or a valley is present within the imaged portion of the agricultural field based at least in part on the candidate ridge pixels or the candidate valley pixels.

Systems and methods for terrain variation detection

A method for determining soil clod parameters within a field includes receiving, with a computing system, three-dimensional image data depicting an imaged portion of the field. The three-dimensional image data, in turn, includes a first two-dimensional image depicting the imaged portion of the field relative to a first position and a second two-dimensional image depicting the imaged portion of the field relative to a second position, with the first position being spaced apart from the second position. Furthermore, the method includes identifying, with the computing system, a soil clod depicted with the received three-dimensional image data. Additionally, the method includes comparing, with the computing system, the first and second two-dimensional images to identify a shadow surrounding at least a portion of the identified soil clod. Moreover, the method includes determining, with the computing system, a soil clod parameter associated with the identified soil clod based on the identified shadow.

System and method for determining soil clod parameters of a field using three-dimensional image data

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Saskatoon, Canada

James Wayne Henry