Ag Leader Technology

Roger Zielke

Scott Eichhorn

Tony Woodcock

Barry Anderson

Chad Fick

Logan Handsaker

Rhett Schildroth

Allen P Myers

Alan F Barry

Vahid Ellig

John Howard

Will Cannon

Joe Holoubek

William Cannon

Ryan Witt

Tom Irwin

Chad Swindoll

Disclosed herein are various devices, systems, and methods for use in agricultural, particularly for use in harvesting agricultural crop such as corn. Various implementations relate to devices, systems, and methods for increasing yield by emitting warnings when the corn head to not at the proper height.

Method for warning of a shelled ear event

An on-the-go planting system utilizing soil organic matter data to prescribed seeding rate, hybrid/variety selection or soil treatment. The system weights at least two field attribute data types, such as soil organic matter data and normalized yield data to prescribe one or more outcomes. The system can also generate a yield potential value so as to prescribe the outcomes.

On the go organic matter sensor and associated systems and methods

An apparatus, system, and method that relate to a physical stalk sensing system comprising at least one resilient member. Sensors having the resilient member or members are able to estimate the size of the stalks of row crops as they pass through a field, such as a corn field. The sensors can be mounted on a corn head and the results can be analyzed and visualized. A system for predicting crop yields in real-time or near real-time. A system for adjusting a stripper plate gap.

Apparatus, systems and methods for stalk sensing

The disclosure relates to agricultural systems. The systems have stalk sensor assemblies and/or data visualization systems. The stalk sensor assemblies are configured for assessing the size and other characteristics about crops, such as corn and other grains entering an agricultural implement, such as a harvester. The stalk sensor assemblies may use an estimation of the stalk perimeter to establish stalk size and therefore further features about the crop. The visualization system utilizes data from the stalk sensor assemblies to calculate and display relevant information about the crop.

Agricultural systems having stalk sensors and data visualization systems and related devices and methods

The disclosed apparatus, systems and methods relate to devices, systems and methods for reducing cross-track error in harvesting row crops such as corn. A cross track error system including a corn head, a row unit disposed on the corn head. The row unit including a set of stripper plates, a resilient member disposed proximal to the stripper plates, a sensor unit in communication with the resilient member, and a processor. The processor is constructed and arranged to process signals generated by the sensor unit in response to deflection of the resilient member.

Apparatus, systems and methods for eliminating cross-track error

The present disclosure is related to agricultural devices, system, and methods, particularly for detecting and measuring plant stalks during harvest. The system may comprise a harvesting row unit, with a camera, a processing unit, and an in-cab display. The system may additionally include a stalk alignment guide, a leaf shield, an artificial light source, and/or a lens cleaning apparatus.

Vision based stalk sensors and associated systems and methods

An on-the-go monitor and control means and method for an agriculture machines includes on-the-go soil sensors that can be used to control tillage and seeding depth. On seeder implements, the sensors provide information that affects uniform plant emergence.

On-the-go soil sensors and control methods for agricultural machines

The disclosed apparatus, systems and methods relate to determining cross track error between a stored planted location and the actual physical location of plants. An array of active light sensors is mounted on a vehicle for travel above the plants. The array of active light sensors generate an electrical signal from each sensor corresponding to the reflected light from the sensor. A computer system generates a reflectance curve from the array of sensors to determine the location of a plant below the array of sensors and also generates the cross track error.

Apparatus, systems and methods for cross track error calculation from active sensors

Disclosed is apparatus for determining cross track error between a stored planted location and the actual physical location of plants. An array of active light sensors is mounted on a vehicle for travel above the plants. The array of active light sensors generate an electrical signal from each sensor corresponding to the reflected light from the sensor. A computer system generates a reflectance curve from the array of sensors to determine the location of a plant below the array of sensors and also generates the cross track error.

Growing community of inventors

Huxley, IA, United States of America

Roger Zielke