A method to make a single dough ball using adaptive kneading technology is explained. An adaptive kneading technology which resides in a processor is used to form an optimal viscoelastic dough ball. The flour and liquid are mixed, the initial dough is contacted, the reading for resistance is recorded, if need be corrected and finally a dough ball is dispensed to make a flat bread.

A food mixing machine includes a mixer body including a column and a head extending from the column. A rotatable output member extends downward from the head for receiving a mixer tool. A bowl support is mounted for vertical movement along the column between a lowered position away from the head and a raised position toward the head. A drive assembly is linked to selectively drive the rotatable output member. A user interface, including a touch-screen display, is located on the mixer body. A controller is associated with the user interface, wherein the controller is configured to communicate mixing machine condition information via the touch-screen display.

A food mixing machine includes a mixer body including a column and a head extending from the column. A rotatable output member extends downward from the head for receiving a mixer tool. A bowl support is mounted for vertical movement along the column between a lowered position away from the head and a raised position toward the head. A drive assembly is linked to selectively drive the rotatable output member. A user interface, including a touch-screen display, is located on the mixer body. A controller is associated with the user interface, wherein the controller is configured to communicate mixing machine condition information via the touch-screen display.

A method for determining a kneading state of a dough such as a cereal dough, wherein the dough being-is configured to be kneaded in a kneading machine, the kneading machine comprising a plurality of having sensors configured to measure representative quantities of the dough during a kneading cycle and at least one kneading tool. The method includes the following steps: continuously collecting the measurements of the representative quantities of the dough during the kneading cycle, determining a kneading state based on a kneading state model defined as a function of the measurements of the representative quantities, the kneading state model being defined or adapted based on a learning phase, and checking up the fulfillment of a kneading stop criterion based on the kneading state.

Described herein are systems and methods for the automated adjustment of flour property measurement equipment such as dough rheometers. The systems and methods allow measurements of flour and dough to be performed on different rheometers with consistent results, regardless of the manufacturer or location of the rheometers. The systems and methods described herein allow a second rheometer, for example, that is deployed in the field to provide results that are consistent with a first dough rheometer, for example, that may be at a different location, or the same location but of the same or different manufacturer. The systems and methods can be used to calibrate, remotely and in real-time, dough rheometers that are deployed in various locations.

A system for remote management of smart grinding device is provided. The system includes a device configured for performing a plurality of functions based on a one or more inputs received. The plurality of functions includes identifying, weighing, dispensing, cleaning, soaking, grinding, fermenting, altering the proportions and storing of one or more ingredients for preparation of an edible composition. The system also includes a communication interface configured for communicating the one or more inputs to the device and further communicating a real time information related to the plurality of functions performed, to a remote server via a wireless network. The system also includes the remote server configured for continuously analyzing the real time information related to the plurality of functions performed by the device by using artificial intelligence (AI) for generating the one or more inputs for the plurality of functions.

A mixing machine includes a head extending over a bowl receiving location, the head including a downwardly extending rotatable output shaft for receiving a mixer tool, the head including a planetary system therewithin for effecting rotation of the rotatable output shaft about its axis and orbiting of the shaft axis about another axis. A motor includes an output operatively connected to drive the planetary system. A control system includes a plurality of sensors, each sensor located for detecting a respective condition of mixing machine, and a diagnostic control operable to (i) track outputs from the plurality of sensors over time, (ii) analyze the tracked outputs and (iii) produce an alert indication based upon the diagnostic control identifying a performance characteristic indicative of a need for service or repair of the mixing machine.

When operating a dough-kneading device, a momentary torque acting on kneading tool of the dough-kneading device, a momentary speed and a momentary rotational position of the kneading tool are measured. From the measurement values, a dough elasticity parameter and a dough viscosity parameter are determined as actual dough parameters. Dough-status data is then output based on the measurement data and the determined actual dough parameters. From the measurement values, dough parameters can therefore directly be concluded, which represent a measure on the one hand for the viscosity and, on the other hand, for the elasticity of the dough. An objective monitoring of the kneaded dough is therefore possible. In addition or as an alternative, an expected kneading period until reaching a maximum torque is determined.

A food mixing machine includes a mixer body including a column and a head extending from the column. A rotatable output member extends downward from the head for receiving a mixer tool. A bowl support is mounted for vertical movement along the column between a lowered position away from the head and a raised position toward the head. A drive assembly is linked to selectively drive the rotatable output member. A user interface, including a touch-screen display, is located on the mixer body. A controller is associated with the user interface, wherein the controller is configured to communicate mixing machine condition information via the touch-screen display.

Described herein are systems and methods for the automated adjustment of flour property measurement equipment such as dough rheometers. The systems and methods allow measurements of flour and dough to be performed on different rheometers with consistent results, regardless of the manufacturer or location of the rheometers. The systems and methods described herein allow a second rheometer, for example, that is deployed in the field to provide results that are consistent with a first dough rheometer, for example, that may be at a different location, or the same location but of the same or different manufacturer. The systems and methods can be used to calibrate, remotely and in real-time, dough rheometers that are deployed in various locations.