A controller for an agricultural sprayer machine is configured to receive for each of a plurality of nozzle sets a respective upper pressure limit, a nozzle reference flow, and a nozzle reference pressure. For each one of the plurality of nozzle sets, a speed setpoint is calculated based upon the application rate setpoint, the nozzle reference flow, the nozzle reference pressure, and the product pressure setpoint.

A coating device includes a head, an arm, and a controller. The head includes a nozzle surface. The arm holds the head. The controller controls movement of the head via the arm. The controller vibrates the head in a second direction intersecting a first direction, and/or rotationally oscillates along a nozzle surface while moving the head in the first direction along the nozzle surface in a state where the nozzle surface and a to-be-coated object face each other.

Method for plantation treatment of a plantation field, the method comprising taking an image of a plantation of a plantation field; recognizing items on the taken image by running a first image recognition analysis of a first complexity on the taken image based on a stored parametrization of a machine learning algorithm; identifying an unsatisfying image analysis result; determining ambient data corresponding to the taken image; recognizing items on the taken image by miming a second image recognition analysis of a second complexity on the image based on the ambient data on an external device, wherein the second complexity is higher than the first complexity; determining an improved parametrization based on the second image recognition analysis for the machine learning algorithm for improving the first image recognition analysis; and controlling a treatment arrangement of a treatment device based on the first image recognition analysis.

In order to provide a checking facility for checking workpieces and also a treatment facility for treating workpieces, which enable efficient and reliable quality optimisation, it is proposed that workpiece parameters are detected, for example by means of an automatic checking station, and a workpiece-specific data set is created on this basis and/or from facility parameters.

In order to provide a checking facility for checking workpieces and also a treatment facility for treating workpieces, which enable efficient and reliable quality optimisation, it is proposed that workpiece parameters are detected, for example by means of an automatic checking station, and a workpiece-specific data set is created on this basis and/or from facility parameters.

In order to provide a method for anomaly and/or fault recognition in an industrial-method plant, for example a painting plant, wherein anomalies and/or fault situations are recognisable simply and reliably by means of the method, it is proposed according to the invention that the method should comprise the following: automatic generation of an anomaly and/or fault model of the industrial-method plant that comprises information on the occurrence probability of process values; automatic input of process values of the industrial-method plant during operation thereof; automatic recognition of an anomaly and/or fault situation by determining an occurrence probability by means of the anomaly and/or fault model on the basis of the process values of the industrial-method plant that have been input and by checking the occurrence probability for a limit value,

The invention relates to a method for providing a coating composition-related prediction program, the method comprising: providing a database (204, 904) comprising associations of qualitative and/or quantitative characterizations of coating surfaces and one or more parameters; training a machine learning model for providing a predictive model (M2, M3) having learned to correlate qualitative and/or quantitative characterizations of one or more coating surfaces with one or more of the parameters; and providing a composition-quality-prediction program configured for using the predictive model (M2) for predicting the properties of a coating surface to be produced from one or more input parameters; and/or providing a composition-specification-prediction program configured for using the predictive model (M3) for predicting, based on an input specifying at least a desired coating surface characterization, one or more output parameters related to a coating composition predicted to generate a coating surface having the input surface characterizations.

A method for qualitative and/or quantitative characterization of a coating surface is provided, comprising: providing a program recognizing coating surface defect types; determining, by the program, whether a camera(s) coupled to the program is within a predefined distance range and/or within a predefined image acquisition angle range relative to a currently presented coating surface; depending on the determination: generating a feedback signal indicative of whether adjustment of the position of the camera(s) is within predefined distance range and/or within the predefined image acquisition angle range, and/or automatically adjusting the relative distance of the camera and and/or automatically adjusting the angle of the camera; enabling the camera to acquire an image of the coating surface only when the camera(s) is/are within the predefined distance range and/or image acquisition angle range; processing the digital image for recognizing coating surface defects; and outputting a characterization of the coating surface.

Systems and methods are provided for controlling a color masterbatch feed rate in production of a manufactured part to match a color of the manufactured part to a target color by adjusting a concentration of masterbatch that is mixed with a raw material and fed into a processing machine for producing the manufactured part. Control of the color masterbatch feed rate is based on optical spectral properties of an in-line manufactured part, a known reference part having the target color, and an algorithm for calculating and adjusting the color masterbatch feed rate.

Methods and systems for providing nutrients to a plant are provided herein in which a feed solution containing water and solubilized nutrients are delivered to the plant at a desired ratio of concentration of water to fertilizer at each watering event in order to provide the plant with a consistent water to mineral ratio within their vascular system.