In one aspect, the present subject matter is directed to a header-based harvesting system for agricultural harvesters that includes a header configured to be removably coupled to a front end of a harvester. The header includes a header frame and a base cutter assembly coupled to the header frame in a floating arrangement. Additionally, the system includes an actuator coupled between the header frame and the base cutter assembly, and a hydraulic circuit in fluid communication with the actuator. The hydraulic circuit is configured to allow pressurized hydraulic fluid to be supplied to the actuator for regulating the floating movement of the base cutter assembly relative to the header frame.

In one aspect, the present subject matter is directed to a header-based harvesting system for agricultural harvesters that includes a header configured to be removably coupled to a front end of a harvester. The header includes a header frame and a base cutter assembly coupled to the header frame in a floating arrangement. Additionally, the system includes an actuator coupled between the header frame and the base cutter assembly, and a hydraulic circuit in fluid communication with the actuator. The hydraulic circuit is configured to allow pressurized hydraulic fluid to be supplied to the actuator for regulating the floating movement of the base cutter assembly relative to the header frame.

A control system for a harvester that harvests crop stalks each having a bottom portion and a top portion. The harvester includes a topper that cuts the stalks between the top and bottom portions and a base cutter that cuts the stalks near a ground surface. The control system includes a sensor that senses a first height between the top of the bottom portion and the ground surface, and senses a second height between the bottom of the bottom portion and the ground surface. The controller receives signals representing the sensed first and second heights from the sensor, determines average first and second heights for the stalks over a set time, sends a first signal to the topper to cause movement of the topper to the average first height, and sends a second signal to the base cutter to cause movement of the base cutter to the average second height.

In one aspect, a system for monitoring crop yield for an agricultural harvester includes a material processing system configured to receive a flow of harvested materials, a first sensor configured to generate data indicative of a volume of the flow of harvested materials being directed through the material processing system, and a second sensor configured to generate data indicative of a density of the flow of harvested materials being directed through the material processing system. In addition, the system includes a computing system communicatively coupled to the first and second sensors, with the computing system being configured to determine a mass flow rate of the flow of harvested materials through the material processing system based at least in part on the data received from the first and second sensors.

In one aspect, a system for monitoring crop yield for an agricultural harvester includes a material processing system configured to receive a flow of harvested materials, a first sensor configured to generate data indicative of a volume of the flow of harvested materials being directed through the material processing system, and a second sensor configured to generate data indicative of a density of the flow of harvested materials being directed through the material processing system. In addition, the system includes a computing system communicatively coupled to the first and second sensors, with the computing system being configured to determine a mass flow rate of the flow of harvested materials through the material processing system based at least in part on the data received from the first and second sensors.

Provided is a non-transitory computer readable medium storing instructions that, when executed by at least one processor, cause the at least one processor to obtain a first signal based on an input image using a trained machine learning model, the input image being an image of a plant cut by a blade, and the first signal indicating a wear level of the blade, determine whether a level of the first signal is greater than or equal to a threshold, generate a second signal in response to determining the level of the first signal is greater than or equal to the threshold, and output the second signal.

Provided is a non-transitory computer readable medium storing instructions that, when executed by at least one processor, cause the at least one processor to obtain a first signal based on an input image using a trained machine learning model, the input image being an image of a plant cut by a blade, and the first signal indicating a wear level of the blade, determine whether a level of the first signal is greater than or equal to a threshold, generate a second signal in response to determining the level of the first signal is greater than or equal to the threshold, and output the second signal.

In one aspect, a computing system for estimating crop yields for agricultural harvesters. The computing system includes one or more processors, and one or more non-transitory computer-readable media that collectively store a machine-learned yield estimation model configured to receive data associated with one or more operation-related conditions for an agricultural harvester and process the data to determine a yield-related parameter indicative of a crop yield for the agricultural harvester. In addition, the computer-readable media stores instructions that, when executed by the one or more processors, configure the computing system to perform operations, the operations comprising: obtaining the data associated with one or more operation-related conditions; inputting the data into the machine-learned yield estimation model; and receiving a value for the yield-related parameter as an output of the machine-learned yield estimation model.

In one aspect, a computing system for estimating crop yields for agricultural harvesters. The computing system includes one or more processors, and one or more non-transitory computer-readable media that collectively store a machine-learned yield estimation model configured to receive data associated with one or more operation-related conditions for an agricultural harvester and process the data to determine a yield-related parameter indicative of a crop yield for the agricultural harvester. In addition, the computer-readable media stores instructions that, when executed by the one or more processors, configure the computing system to perform operations, the operations comprising: obtaining the data associated with one or more operation-related conditions; inputting the data into the machine-learned yield estimation model; and receiving a value for the yield-related parameter as an output of the machine-learned yield estimation model.

A harvester including a mono-camera having a first field of view, where the camera outputs a first image representative of the first field of view, and where the first image is a two-dimensional representation of the first field of view. The harvester also includes a controller in operable communication with the mono-camera, where the controller establishes a second two-dimensional reference frame fixed relative to the first field of view, where the controller identifies a reference point within the first image, where the controller locates the reference point within the second two-dimensional reference frame, and where the controller calculates the location of the reference point relative to the first, three-dimensional reference frame based on the position of the reference point within the second two-dimensional reference frame.