An agricultural machine, in particular self-propelled and/or towed agricultural machine and methods for proactively controlling an agricultural machine to maintain a positioning of a boom coupled to the machine over uneven terrain are described. The agricultural machine includes a chassis that bears components of the agricultural machine, a data processing apparatus, a sensor unit for detecting an inclination angle of the chassis relative to a reference plane, and a detection apparatus for detecting a travel speed and/or a travelled route, per time unit. Proactive control of the machine is achieved using the data processing apparatus which is configured to calculate a travelled route, in particular per time unit, using a travel speed and/or to calculate a terrain relief using a travelled route, per time unit, and using an inclination angle of the chassis which changes or remains constant along the route.

A spray system for an agricultural machine is configured to include a valving arrangement and multiple liquid product lines coupled to spray nozzle assemblies such that the valving arrangement can connect the product lines to the spray nozzle assemblies in different ways to achieve different modes of operation. Such modes can include providing agricultural liquid product flow through the spray nozzle assemblies at differing rates and/or flushing the product through the spray nozzle assemblies in differing directions. This can be achieved by controlling the valving arrangement to selectively connect any of the lines to pump for supplying product, to tank for returning product, or to block the lines to inhibit the flow of product. In one aspect, the product multiple lines can be of different sizes to enable more modes of operation, such as greater or lesser flow rates while spraying.

An agricultural composition sensor includes a sensor housing including a flow passage configured to conduct an agricultural product. A sensor assembly is coupled with the sensor housing. The sensor assembly is configured to detect one or more injection products in the agricultural product. The sensor assembly includes an emanator configured to generate at least one light beam and a sensing element configured to receive the at least one light beam. A directing element is configured to deliver the light beam through the flow of the agricultural product. The sensing element is configured to generate a spectral plot from the light beam delivered through the flow of the agricultural product having one or more spectral signatures corresponding to the one or more injection products.

A farming machine includes one or more image sensors for capturing an image as the farming machine moves through the field. A control system accesses an image captured by the one or more sensors and identifies a distance value associated with each pixel of the image. The distance value corresponds to a distance between a point and an object that the pixel represents. The control system classifies pixels in the image as crop, plant, ground, etc. based on depth information in in the pixels. The control system generates a labelled point cloud using the labels and depth information, and identifies features about the crops, plants, ground, etc. in the point cloud. The control system generates treatment actions based on any of the depth information, visual information, point cloud, and feature values. The control system actuates a treatment mechanism based on the classified pixels.

An agricultural applicator system is provided herein that includes a boom assembly and one or more nozzles positioned along the boom assembly. The one or more nozzles are configured to selectively dispense an agricultural product therefrom. A sensor is operably coupled with the boom assembly and is configured to capture data associated with one or more application variables. A controller is commutatively coupled to the sensor and includes a processor and associated memory. The memory stores instructions that, when implemented by the processor, configure the controller to receive the data associated with one or more application variables and provide a notification when the data associated with one or more application variables are outside of a range defined by a predefined lower and upper threshold. The controller may also pause an application operation of the agricultural product until the notification is acknowledged by an operator.

A variable width agricultural applicator is provided. The variable width agricultural applicator is attachable to a boom to apply a liquid to a crop in rows. The variable width agricultural sprayer includes a drop tube and a splitter downstream of the drop tube. The splitter is fluidly connected to the drop tube. A pair of flexible delivery tubes is fluidly connected to the splitter. Each one of the pair of flexible delivery tubes has a predetermined bend.

An agricultural chemical spraying drone with improved safety is provided. The drone includes an altitude measurement sensor and a speed measurement sensor and controls not to exceed an altitude restriction and a speed restriction of an airframe by using a flight controller. The sensors are desirable be combination of multiple types. Particularly, the altitude is desirably measured by a GPS during take-off and by a sonar during chemical spraying. Weight of the airframe is measured from time to time, and the altitude restriction and the speed restriction may be adjusted according to the weight.

A method includes: at an autonomous vehicle and during a first operating period, capturing a first set of images of a plant; calculating a location of the plant based on the first set of images; extracting an initial value of a plant metric of the plant based on the first set of images; predicting a predicted value of the plant metric of the plant at a time based on the initial value of the plant metric of the plant and a set of global condition data. The method also includes, at the autonomous vehicle and during a second operating period concurrent with the time: capturing a second set of images of the plant; identifying the plant based on the second set of images and the location of the plant; and executing an agricultural operation on the plant based on the predicted value of the plant metric.

A method includes: at an autonomous vehicle and during a first operating period, capturing a first set of images of a plant; calculating a location of the plant based on the first set of images; extracting an initial value of a plant metric of the plant based on the first set of images; predicting a time series of the plant metric of the plant based on the plant profile of the plant and a set of global condition data. The method also includes: generating a timing recommendation for an agricultural operation based on the plant profile of each plant in the set of plants, the timing recommendation designating a target time.

A boom for a sprayer vehicle includes a fluid-carrying medium; at least one nozzle fluidly coupled to the fluid-carrying medium; and at least one unmanned aerial vehicle tethered to the fluid-carrying medium. The at least one unmanned aerial vehicle includes a plurality of fans, and the nozzle is arranged to discharge material through a fan. Related methods and sprayer vehicles are also disclosed.