In one aspect, a pressure sensor for detecting a pressure differential between first and second fluid sources may include sensor body defining a cavity and a seal plate slidably positioned within the cavity. The seal plate may define first and second chambers within the cavity, which may respectively be in fluid communication with the first and second fluid sources. The sensor may also include a sensing element configured to detect a position of the seal plate relative to the sensor body, which may be indicative of the pressure differential between the first and second fluid sources. The sensor may further include a first spring positioned within the first chamber and compressed between a first side of the seal plate and the sensing element. Additionally, the sensor may include a second spring positioned within the second chamber and compressed between a second side of the seal plate and the sensor body.

An agricultural row unit assembly employs a pair of tine assemblies and a seedbed cultivator for soil preparation to enhance opportune planting.

An implement including a first frame member, a second frame member movable with respect to the first frame member, and a rolling basket rotatably coupled to the second frame member for rotation about a first axis of rotation. The implement also includes a biasing member configured to move the first axis of rotation toward a rest position, and where the rest position is adjustable relative to the first frame portion.

The present disclosure provides systems and methods that measure soil roughness in a field from imagery of the field. In particular, the present subject matter is directed to systems and methods that include or otherwise leverage a machine-learned clod detection model to determine a soil roughness value for a portion of a field based at least in part on imagery of such portion of the field captured by an imaging device. For example, the imaging device can be a camera positioned in a downward-facing direction and physically coupled to a work vehicle or an implement towed by the work vehicle through the field.

In one aspect, the present subject matter is directed to a system for controlling the operation of a residue removal device of a seed-planting implement. The system may include a residue removal device configured to remove residue from a path of the seed-planting implement. The system may also include a furrow closing assembly including at least one closing disc, with the furrow closing assembly configured to close a furrow formed in the soil by the seed-planting implement. Furthermore, the system may include a sensor configured to capture data indicative of an operational parameter of the furrow closing assembly and a controller communicatively coupled to the sensor. The controller may be configured to monitor the operational parameter based on the data received from the sensor, the controller further configured to control an operation of the residue removal device based on the monitored operational parameter.

A wireless control system may include a controller and portable computing device. The controller may be configured to communicate with the portable computing device so that an operator may set a specific value and/or parameters in which the hydraulic cylinder may operate. In an aspect, the hydraulic cylinder may be engaged with a row cleaner assembly, and in another aspect it may be engaged with a closing wheel, and in yet another aspect it may be engaged with a furrow forming assembly.

The present disclosure provides systems and methods that measure soil roughness in a field from imagery of the field. In particular, the present subject matter is directed to systems and methods that include or otherwise leverage a machine-learned clod detection model to determine a soil roughness value for a portion of a field based at least in part on imagery of such portion of the field captured by an imaging device. For example, the imaging device can be a camera positioned in a downward-facing direction and physically coupled to a work vehicle or an implement towed by the work vehicle through the field.

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.

Apparatus and methods for detecting and remediating clogged gauge wheels, closing wheels, and seed tubes of an agricultural planter.

Systems, methods and apparatus for imaging and characterizing a soil surface and a trench in the soil surface formed by an agricultural implement. The sensors are disposed on the agricultural implement in data communication with a processor to generate the soil surface and trench images which may be displayed to the operator. In one embodiment, the sensors include one or more time of flight cameras for determining a depth of the trench and other characteristics of the surrounding soil surface and the trench, including detection of seeds, soil or other debris in the trench and moisture lines within the trench. The system may control operating parameters of the implement based on the generated images.