Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.

Abstract: Based on an analysis of asset attribute data associated with a plurality of assets, a platform may detect a locality that is a possible instance of a given type of environment, such as a mine or construction site. In response, the platform may obtain image data associated with the detected locality and input that image data into a model that outputs likelihood data indicating a likelihood that any portion of the detected locality comprises a given feature of the given type of environment (e.g., a boundary, navigation route, hazard, etc.), where this model is defined based on training data. Based on the likelihood data, the platform may then generate output data indicating a location of any portion of the detected locality that is likely to comprise the given feature. In turn, the platform may use the output data to simulate asset operation in the detected locality.

Abstract: Systems and methods for obtaining a panoramic image are provided. One system includes a gantry, an x-ray source, a receptor, and at least one controller. The x-ray source is mounted on the gantry and is configured to alternatively output x-ray radiation at a first energy level and x-ray radiation at a second energy level. The receptor is mounted on the gantry so that x-ray radiation from the x-ray source impinges on the receptor. The receptor is configured to output a plurality of frames of data including a first frame and a second frame sequential to the first frame. The controller is configured to control the x-ray source so that data in the first frame is generated based on x-ray radiation of the first energy level and data in the second frame is based on x-ray radiation of the second energy level.

Abstract: Based on an analysis of asset attribute data associated with a plurality of assets, a platform may detect a locality that is a possible instance of a given type of environment, such as a mine or construction site. In response, the platform may obtain image data associated with the detected locality and input that image data into a model that outputs likelihood data indicating a likelihood that any portion of the detected locality comprises a given feature of the given type of environment (e.g., a boundary, navigation route, hazard, etc.), where this model is defined based on training data. Based on the likelihood data, the platform may then generate output data indicating a location of any portion of the detected locality that is likely to comprise the given feature. In turn, the platform may use the output data to simulate asset operation in the detected locality.

Abstract: Systems and methods for obtaining a panoramic image. One system includes a gantry, an x-ray source, a receptor, and at least one controller. The x-ray source is mounted on the gantry and is configured to alternatively output x-ray radiation at a first energy level and x-ray radiation at a second energy level. The receptor is mounted on the gantry so that x-ray radiation from the x-ray source impinges the receptor. The receptor is configured to output a plurality of frames of data including a first frame and a second frame sequential to the first frame. The controller is configured to control the x-ray source so that data in the first frame is generated based on x-ray radiation of the first energy level and data in the second frame is based on x-ray radiation of the second energy level.

Abstract: Methods and systems for generating images. One system includes a processor. The processor is configured to receive image generation settings, receive projection data generated by a CT scan of an object, and automatically generate a first three-dimensional data set based on the projection data, wherein the first three-dimensional data set has a first field-of-view of the object. The processor is also configured to automatically generate a second three-dimensional data set based on the projection data and the image generation settings. The second three-dimensional data set has a second field-of-view of the object smaller than the first field-of-view in at least one dimension. In one embodiment, the second three-dimensional data set is transmitted to a service provider over at least one network.

Abstract: Systems and methods for inspecting data generated during a scan of an object. One system includes a processor. The processor is configured to receive projection data generated by a CT scan of an object, generate a three-dimensional, volumetric data set based on the projection data, and automatically generate a plurality of cinematic frames of a cinematic sequence based on the three-dimensional, volumetric data set. Each of the plurality of cinematic frames has a different value for at least one parameter. The processor is also configured to automatically generate a signal to display the cinematic sequence in a frame-by-frame manner. In some embodiments, the processor continuously displays the cinematic sequence until a user accepts the three-dimensional, volumetric data set or stops the cinematic sequence (e.g., to perform a manual inspection of the three-dimensional, volumetric data set and/or re-initiate a scan of the object).

Abstract: Systems and methods for inspecting data generated during a scan of an object. One system includes a processor. The processor is configured to receive projection data generated by a CT scan of an object, generate a three-dimensional, volumetric data set based on the projection data, and automatically generate a plurality of cinematic frames of a cinematic sequence based on the three-dimensional, volumetric data set. Each of the plurality of cinematic frames has a different value for at least one parameter. The processor is also configured to automatically generate a signal to display the cinematic sequence in a frame-by-frame manner. In some embodiments, the processor continuously displays the cinematic sequence until a user accepts the three-dimensional, volumetric data set or stops the cinematic sequence (e.g., to perform a manual inspection of the three-dimensional, volumetric data set and/or re-initiate a scan of the object).

Abstract: Methods and systems for generating images. One system includes a processor. The processor is configured to receive image generation settings, receive projection data generated by a CT scan of an object, and automatically generate a first three-dimensional data set based on the projection data, wherein the first three-dimensional data set has a first field-of-view of the object. The processor is also configured to automatically generate a second three-dimensional data set based on the projection data and the image generation settings. The second three-dimensional data set has a second field-of-view of the object smaller than the first field-of-view in at least one dimension. In one embodiment, the second three-dimensional data set is transmitted to a service provider over at least one network.

Abstract: A square paint pan caddy made out of a single sheet of cardboard. The cardboard comes pre-cut and folded. Once all four panels walls are folded and locked into place a center hollow area is formed, permitting the placement of painters equipment therein.