A method for automating an agricultural work task which is performed by a tillage device on an agricultural tractor includes modifying via a control unit at least one process control variable representing a working or operating parameter of the tillage device using feedback data which represent a field state of a field surface before or after tillage, generating via an imaging sensor a ground image of the field surface, and evaluating via a data processing unit the ground image to determine at least some of the feedback data. The data processing unit evaluates the ground image such that the ground image is used to determine the feedback data depending on the result of a monitoring of the field surface for visually covering air dust.

A method for automating an agricultural work task which is performed by a tillage device on an agricultural tractor includes modifying via a control unit at least one process control variable representing a working or operating parameter of the tillage device using feedback data which represent a field state of a field surface before or after tillage, generating via an imaging sensor a ground image of the field surface, and evaluating via a data processing unit the ground image to determine at least some of the feedback data. The data processing unit evaluates the ground image such that the ground image is used to determine the feedback data depending on the result of a monitoring of the field surface for visually covering air dust.

A computing device provides shoppers with a frictionless commerce experience. The computing device determines, tracks, and stores certain physical characteristics and/or attributes of the products selected by a shopper for purchase. The device analyzes these attributes with respect to the shopper's particular purchasing habits and uses the results of that analysis to recommend products to the shopper. Additionally, the computing device may modify the sales price of the product, or augment the shopper's order with the same or similar products, based on the results of the analysis.

Embodiments of the present disclosure include apparatuses, computer-implemented methods, and computer program products for automatic product verification and shelf product gap analysis. Some embodiments utilize a multi-imager imaging engine to capture at least two image data objects associated with at least a near field and a far field via corresponding near and far-field imagers. The far field image data object in some embodiments is processed to identify, and/or detect and decode, product information on a product label at a shelving location for future processing. The near-field image data object may be processed to identify a product set located within the environment surrounding the product label. The information identified from each image data object may be processed to identify whether one or more product mismatches, pricing mismatches, and/or product gaps are present at the shelving location, with improved likelihood of success for each task.

A farming machine moves through a field and includes an image sensor that captures an image of a plant in the field. A control system accesses the captured image and applies the image to a machine learned plant identification model. The plant identification model identifies pixels representing the plant and categorizes the plant into a plant group (e.g., plant species). The identified pixels are labeled as the plant group and a location of the pixels is determined. The control system actuates a treatment mechanism based on the identified plant group and location. Additionally, the images from the image sensor and the plant identification model may be used to generate a plant identification map. The plant identification map is a map of the field that indicates the locations of the plant groups identified by the plant identification model.

One variation of a method for deploying sensors within an agricultural facility includes: accessing scan data of a set of modules deployed within the agricultural facility; extracting characteristics of plants occupying the set of modules from the scan data; selecting a first subset of target modules from the set of modules, each target module in the set of target modules containing a group of plants exhibiting characteristics representative of plants occupying modules neighboring the target module; for each target module, scheduling a robotic manipulator within the agricultural facility to remove a particular plant from a particular plant slot in the target module and load the particular plant slot with a sensor pod from a population of sensor pods deployed in the agricultural facility; and monitoring environmental conditions at target modules in the first subset of target modules based on sensor data recorded by the first population of sensor pods.

One variation of a method for deploying sensors within an agricultural facility includes: accessing scan data of a set of modules deployed within the agricultural facility; extracting characteristics of plants occupying the set of modules from the scan data; selecting a first subset of target modules from the set of modules, each target module in the set of target modules containing a group of plants exhibiting characteristics representative of plants occupying modules neighboring the target module; for each target module, scheduling a robotic manipulator within the agricultural facility to remove a particular plant from a particular plant slot in the target module and load the particular plant slot with a sensor pod from a population of sensor pods deployed in the agricultural facility; and monitoring environmental conditions at target modules in the first subset of target modules based on sensor data recorded by the first population of sensor pods.

The present invention provides a food and/or beverage item counting device to be provided in a food and/or beverage item provision system including a transport path that passes along a customer table to transport carriers each configured to allow a food and/or beverage item to be placed thereon, the food and/or beverage item counting device including: a first information acquiring unit disposed upstream of the table and configured to acquire information relating to each of the carriers on the transport path; a second information acquiring unit disposed downstream of the table and configured to acquire information relating to each of the carriers on the transport path; and a first calculating unit configured to calculate the number of the food and/or beverage items taken out from the transport path to the table, wherein each of the carriers is provided with identification information for identifying the carrier.

The present invention provides a food and/or beverage item counting device to be provided in a food and/or beverage item provision system including a transport path that passes along a customer table to transport carriers each configured to allow a food and/or beverage item to be placed thereon, the food and/or beverage item counting device including: a first information acquiring unit disposed upstream of the table and configured to acquire information relating to each of the carriers on the transport path; a second information acquiring unit disposed downstream of the table and configured to acquire information relating to each of the carriers on the transport path; and a first calculating unit configured to calculate the number of the food and/or beverage items taken out from the transport path to the table, wherein each of the carriers is provided with identification information for identifying the carrier.

The subject matter of this specification can be implemented in, among other things, methods, systems, computer-readable storage medium. A method can include receiving, by a processing device, image data including one or more image frames indicative of a current state of a meal preparation area. The processing device determines a first quantity of a first ingredient disposed within a first container based on the image data. The processing device determines a meal preparation procedure associated with the first ingredient based on the first quantity. The processing device causes a notification indicative of the meal preparation procedure to be displayed on a graphical user interface (GUI).