An apparatus and method of applying liquid product to a crop growing in a field. A plurality of drop assemblies are laterally spaced along the boom structure, each of the plurality of drop assemblies include a boom mounting bracket which supports a vertical support member and a spray assembly disposed at a lower end of the vertical support member, the boom mounting bracket having a first pivot axis oriented substantially perpendicular to the boom structure. The drop assemblies are movable from a working position to a transport position. In the transport position the vertical support member is pivoted about the first axis such that the vertical support member is oriented toward the boom structure. In the working position the vertical support is oriented substantially perpendicular to the boom structure.

An agricultural system can include a boom assembly supporting one or more nozzle assemblies there along. A boom adjustment system can be operably coupled with the boom assembly. A sensing system can be configured to capture data indicative of one or more application variables. A computing system can be communicatively coupled to the boom adjustment system and the sensing system. The computing system can be configured to receive, from the sensing system, the data associated with the one or more application variables, calculate a spray quality index based on the data associated with the one or more application variables, and generate an output to change a position of the boom assembly through the boom adjustment system based at least in part on the calculated spray quality index deviating from a defined range.

An agricultural system can include a first nozzle assembly positioned along a boom assembly and configured to selectively dispense an agricultural product therefrom. An airflow detection system can be configured to capture data indicative of one or more airflow sources. A computing system can be communicatively coupled to the first nozzle assembly and the airflow detection system. The computing system can be configured to receive, from the airflow detection system, the data associated with the one or more airflow sources and generate a first nozzle vector for the first nozzle assembly based at least in part on the data from the airflow detection system.

Described herein are implements and application units for placement of fluid applications with respect to agricultural plants of agricultural fields. In one embodiment, an application unit includes a frame to be positioned in operation between two rows of plants and a plurality of flexible members coupled to the frame in operation such that the plurality of flexible members guide a lateral position of the frame to be approximately equidistant from the two rows of plants based upon whether at least one flexible member of the plurality of flexible members contacts one or more plants of the two rows of plants. The plurality of flexible members include a plurality of fluid outlets for spraying crop input in close proximity to the rows of plants.

An agricultural sprayer includes at least one nozzle configure to receive a fluid and direct atomized fluid to an agricultural surface in a dispersal area. A radio-frequency (RF) transmitter is disposed to generate an RF signal that passes through the dispersal area. The RF signal is detectably changed when interacting with droplets of the atomized fluid. A first RF receiver is disposed to receive the RF signal after the RF signal passes through the dispersal area and provides an output indicative of the RF signal. A controller is coupled to the first RF receiver and is configured to detect plugging of the at least one nozzle based on the output of the first RF receiver.

A spray nozzle includes a transmission component and a fan blade assembly. The fan blade assembly is connected to the transmission component, and can rotate with respect to the transmission component to create a vacuum inside the fan blade assembly, so that the liquid to be atomized under atmospheric pressure can enter the fan blade assembly through the transmission component. The fan blade assembly can also drive the liquid in the fan blade assembly to rotate so as to atomize the liquid and eject it from the fan blade assembly. The liquid in the fan blade assembly rotates with the fan blade assembly. A sprayer includes a body and the spray nozzle.

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 liquid dispensing apparatus for applying liquid products to row crops. The liquid dispensing apparatus includes a plurality of drop assemblies supported by and laterally spaced along a boom structure. Each of the drop assemblies includes dribble hoses for dribbling a liquid product onto the soil in a rhizosphere of adjacent crop rows. The drop assemblies may include a spray assembly for spraying the row crops. The dribble hoses may be supported by a base unit with positionable support brackets

A method for applying spray liquid by an agricultural spraying device includes steps of: applying the spray liquid to an agricultural area by a plurality of spraying elements which are arranged on a sprayer boom of the agricultural spraying device, and detecting plant rows on the agricultural area during the application of the spray liquid, the spray liquid being applied by at least one spraying element with a first spray pattern in row areas of the agricultural area which have plant rows, and being applied by at least another spraying element with a second spray pattern in row-free areas of the agricultural area without plant rows.

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.