Abstract: Sprayer control systems and methods for applying an agricultural product are provided. A system can include a plurality of smart nozzles for mounting along a boom. Each of the smart nozzles can include an electronic control unit (ECU), a control valve, and one or more spray nozzles. The system can further include a master node in communication with the ECUs. The master node and ECUs can include a processing system for regulating the supply of agricultural product to the plurality of smart nozzles. The processing system can include at least one dynamic actuation timing module configured to receive a plurality of valve control inputs for a respective control valve of a respective smart nozzle associated with the ECU and dynamically determine an actuation time for the respective control valve based on the plurality of valve control inputs.

Abstract: A sprayer control system includes a plurality of smart nozzles each having at least one control valve with a valve operator, an electronic control unit for the valve operator, and one or more spray nozzles. The at least one control valve and the ECU control a flow rate of liquid agricultural product through the nozzles. A duty cycle modulator is in communication with the ECU and generates an applied duty cycle for the at least one control valve. The duty cycle modulator includes a specified duty cycle input having a specified duty cycle and a pressure monitor associated with the at least one control valve. A pressure comparator compares the valve pressure determined with the pressure monitor with a system pressure and generates a pressure error. An applied duty cycle generator generates the applied duty cycle based on the specified duty cycle modified by the pressure error.

Abstract: A system and method for the detection and tracking of droplets sprayed from an agricultural spray nozzle is provided. The system includes a sensor configured to observe droplets sprayed from the nozzle, a frame extractor module, a droplet shape and size extraction module, a droplet tracking module, and a data log module. The system may provide an artificial intelligence (AI)-enabled framework capable of processing images obtained of droplets, detecting and tracking all droplets appearing across image frames, and determining the droplets' geometric and dynamic data. The system further provides for the integration of deep-learning techniques into an image processing algorithm which enables precise and reliable determination of droplet characteristics. In addition, the deep-learning framework produces consistent results under a variety of uncertain imaging conditions.

Abstract: A system for applying an agricultural product includes at least one control valve. For instance, the control valve has a moveable valve operator. One or more sensors monitor one or more control valve characteristics. A valve controller is configured to determine the control valve is in one or more of a primed state or an unprimed state based on a comparison of the one or more control valve characteristics to a primed valve characteristic threshold.