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: An inlet duct for use with an engine is presented. The invention includes a duct structure, at least one spike disposed along an interior surface of the duct structure, and an inlet throat formed by one or more apexes disposed along an equal number of spikes. The inlet throat corresponds to the minimum cross-sectional area through which airflow passes as otherwise allowed by the maximal obstruction formed by the apex(es) within the duct structure. Each spike is bounded by a longitudinal ridge and a lateral ridge along an upper end and a base. The ridges intersect at the apex. A portion of each spike upstream of the inlet throat functions primarily as a supersonic diffuser and downstream as a subsonic diffuser. Airflow is isentropically compressed and then expanded within the inlet duct so that greater-than-subsonic flow at an input end is reduced to subsonic flow at an output end.

Abstract: A method for gamifying a toll image review process includes receiving an image of a vehicle that has utilized a toll road and identifying a region of interest of the image depicting an identifier of the vehicle. A second image is generated that includes the region of interest and is preprocessed to generate a plurality of images of the region of interest. Each of the images includes unique display settings. The images are displayed within a graphical user interface along with progress information for a first user. The progress information is related to an amount of vehicles to identify. Progress information is displayed for additional users. An input including the identifier is received using the user interface. Images related to an image of a second vehicle's region of interest are displayed. A progress of the additional users is monitored and then the displayed progress information is updated.

Abstract: A method for gamifying a toll image review process includes receiving an image of a vehicle that has utilized a toll road and identifying a region of interest of the image depicting an identifier of the vehicle. A second image is generated that includes the region of interest and is preprocessed to generate a plurality of images of the region of interest. Each of the images includes unique display settings. The images are displayed within a graphical user interface along with progress information for a first user,. The progress information is related to an amount of vehicles to identify. Progress information is displayed for additional users. An input including the identifier is received using the user interface. Images related to an image of a second vehicle's region of interest are displayed. A progress of the additional users is monitored and then the displayed progress information is updated.