A harvester monitoring system configured to determine one or more parameters associated with harvested items, the system comprising: a camera module having a field of view and configured to generate image data associated with the harvested items; a mounting bracket configured to secure the camera module to a harvester such that a conveyor of the harvester is within the field of view of the camera module; a location sub-system configured to determine and output location data representative of a geographical location of the harvester monitoring system; and a processing unit configured to receive the image data and the location data, to determine one or more parameters associated with the harvested items, and to record the one or more parameters in association with the location data on a computer readable medium.

A method includes obtaining, by the treatment system configured to implement a machine learning (ML) algorithm, one or more images of a region of an agricultural environment near the treatment system, wherein the one or more images are captured from the region of a real-world where agricultural target objects are expected to be present, determining one or more parameters for use with the ML algorithm, wherein at least one of the one or more parameters is based on one or more ML models related to identification of an agricultural object, determining a real-world target in the one or more images using the ML algorithm, wherein the ML algorithm is at least partly implemented using the one or more processors of the treatment system, and applying a treatment to the target by selectively activating the treatment mechanism based on a result of the determining the target.

A tractor has a controller and at least one sensor-for sensing at least one swath line of crop material corresponding to a quantity of crop material per unit length of a swath. The controller operates in dependence on at least one output of the at least one sensor to operate a steering mechanism of the tractor such that a baler towed by the tractor follows a said swath line in a manner aligning ingestion of crop material into the baler for baling. The at least one sensor is operable to sense a swath line that is laterally offset from the direction of forward movement of the tractor.

A method for automatically manoeuvring an agricultural vehicle to at least a predefined path segment at a farmyard comprising the steps of gathering all predefined path segments at the farmyard, determining all predefined path segments being free from an obstacle, selecting a free path segment from the predefined path segments being free from an obstacle and calculating a path from the position of the agricultural vehicle to the selected free path segment.

Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object. In some examples, a method may include, receiving data representing a policy specifying a type of action for an agricultural object, selecting an emitter with which to perform a type of action for the agricultural object as one of one or more classified subsets, and configuring the agricultural projectile delivery system to activate an emitter to propel an agricultural projectile to intercept the agricultural object.

The invention relates to a method for maintaining agricultural land (110), comprising: preparing, by means of a computing device (160) comprising a processor (161) and a computer memory (162), a map of the agricultural land from previously acquired images of the agricultural land, a plurality of growing areas (120), each comprising a plurality of parallel growing rows (130), being defined in the map prepared; assigning a list of growing areas to be treated to a stand-alone vehicle (140) depending on an initial position and a final position of the stand-alone vehicle and the position of the growing areas to be treated; determining a travel plan for the stand-alone vehicle from the list of growing areas assigned to the vehicle with due regard to the orientation of the rows in the growing areas to be treated; and moving the stand-alone vehicle according to the previously established travel plan.

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.

A system comprising a boom, a plurality of nozzles disposed along the boom, a light disposed on the boom to illuminate a spray pattern from at least one nozzle, a camera disposed on the boom to capture a first image of a spray from the at least one nozzle at a first time and a second image of no spray from the at least one nozzle at a second time, and a processor to calculate a difference between the first time and second time to determine a pulse width modulation of the at least one nozzle.

A system having: a boom; at least one nozzle assembly attached to the boom; and a nozzle or a second nozzle assembly; wherein the at least one nozzle assembly and the second nozzle assembly each comprise a nozzle and at least one light; wherein the at least one light is disposed to illuminate a spray from an adjacent nozzle assembly or nozzle.

An agricultural implement broadly includes a ground-engaging tool, a time-of-flight sensor, and a controller. The time-of-flight sensor is configured to obtain information indicative of seed parameters, furrow parameters, and/or soil condition parameters. The controller is configured to process the information obtained by the time-of-flight sensor to generate the parameters, wherein the controller is further configured to automatically control operation of one or more components of the implement based on the parameters.