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: The present invention relates to the use of compounds of Formula (I) as agrochemicals, preferably herbicides, wherein X, X?, X?, R2, R3, R4 and R5 are as defined herein. The invention further relates to agrochemical compositions comprising a compound of Formula (I) and to the use of such compositions for controlling weeds at a locus, particularly among useful crops. The invention further relates to select compounds of Formula (I).

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: The present invention relates to the use of compounds of Formula (I) as herbicides, wherein Z, W, X1-X4, R1, F2, R3, R4, m and n are as defined herein. The invention further relates to agrochemical compositions comprising a compound of Formula (I) and to the use of such compositions for controlling weeds at a locus, particularly among useful crops. The invention further relates to select compounds of Formula (I).

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: 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: A method for detecting a buried non-conductive pipe includes transmitting, by a radio frequency (RF) transmitter, guided RF energy through one end of the non-conductive pipe, receiving, by a RF receiver, electromagnetic signals due to RF energy leaks in one or more locations along the non-conductive pipe, and processing, by one or more processors, the received signals to determine a location of the non-conductive pipe. A system for detecting a buried non-conductive pipe includes a RF transmitter configured to transmit guided RF energy through one end of the non-conductive pipe, a RF receiver configured to receive electromagnetic signals due to RF energy leaks in one or more locations along the non-conductive pipe, and one or more processors configured to process the received signals to determine a location of the non-conductive pipe.

Abstract: A system and method for inspecting a can seam includes capturing or receiving images of a can. The images including at least an image of a can body or wall and a can seam. Dimensions or parameters of the can are calculated based on the images of the can body or the can seam. The dimensions or parameters are compared to a predetermined range, value, or profile associated with or corresponding to a compliant can (e.g., a non-defective can) to identify any deviations from the predetermined value. Upon identifying a deviation based on the comparison, the deviation may be associated with a particular defect, and an indication of the identified defect is provided (e.g., via a display or user interface (e.g., a graphic user interface)).

Abstract: Embodiments disclosed herein are directed to negative pressure treatment systems and wound dressing systems, apparatuses, and methods that may be used for the treatment of wounds. In particular, some embodiments are directed to improved wound dressings comprising an obscuring layer that may hide fluid contained therein. Some embodiments may further comprise one or more viewing windows disposed therethrough so as to enable monitoring or examination of fluids contained therein.

Abstract: Disclosed is an automated system for measuring seam parameters of a crimped closure can and for determining seam tightness using the measured parameters. The system includes an image recording device with a magnifying lens which receives an image of a cross-sectioned seam. The automated system detects voids in the seam and compares the characteristics of those voids against predetermined standards to identify improperly formed seams and alert an operator.

Abstract: A method for detecting a buried non-conductive pipe includes transmitting, by a radio frequency (RF) transmitter, guided RF energy through one end of the non-conductive pipe, receiving, by a RF receiver, electromagnetic signals due to RF energy leaks in one or more locations along the non-conductive pipe, and processing, by one or more processors, the received signals to determine a location of the non-conductive pipe. A system for detecting a buried non-conductive pipe includes a RF transmitter configured to transmit guided RF energy through one end of the non-conductive pipe, a RF receiver configured to receive electromagnetic signals due to RF energy leaks in one or more locations along the non-conductive pipe, and one or more processors configured to process the received signals to determine a location of the non-conductive pipe.

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: Methods, systems, and computer readable media for multi-layer orchestration in software defined networks (SDNs) are disclosed. In one example, the method includes receiving orchestration related data for implementing a network service using the network resources within the SDN, determining configuration information for the network resources based on the orchestration related data and protocol layer capability of the network resources, wherein determining the configuration information includes identifying the network resources having the protocol layer capability to provide network services, and providing the configuration information to the network resources.

Abstract: An asymmetric propulsion mechanism capable of providing both axial thrust as well as lateral maneuverability from a single axis of rotation is described. The mechanism may be used on aquatic vehicles to minimize cost and maximize reliability and endurance. The mechanism comprises one or more propeller blades disposed asymmetrically around a rotating hub under the guidance of a control system including a motor capable of driving the propeller at various radial speeds throughout the course of a single revolution.

Abstract: According to one aspect, the subject matter described herein includes a system for performing Diameter overload control. The system occurs at a Diameter routing node. The system includes a network interface for receiving a Diameter message. The system also includes a Diameter overload control unit configured to detect an overload condition for a Diameter session associated with the Diameter message and to communicate an indication of the overload condition to a second Diameter node using a Diameter message defined for a purpose other than overload control.

Abstract: An asymmetric propulsion mechanism capable of providing both axial thrust as well as lateral maneuverability from a single axis of rotation is described. The mechanism may be used on aquatic vehicles to minimize cost and maximize reliability and endurance. The mechanism comprises one or more propeller blades disposed asymmetrically around a rotating hub under the guidance of a control system including a motor capable of driving the propeller at various radial speeds throughout the course of a single revolution.

Abstract: Methods, systems, and computer readable media for managing Diameter overload information within a telecommunications network are disclosed. One embodiment of a system for implementing the subject matter described herein includes at a virtualization orchestrator (VO) having a hardware processor and within the telecommunications network, receiving overload information, determining a network virtualization operation to perform based on the received information, and performing the network virtualization operation.

Abstract: Methods, systems, and computer readable media for multi-layer orchestration in software defined networks (SDNs) are disclosed. In one example, the method includes receiving orchestration related data for implementing a network service using the network resources within the SDN, determining configuration information for the network resources based on the orchestration related data and protocol layer capability of the network resources, wherein determining the configuration information includes identifying the network resources having the protocol layer capability to provide network services, and providing the configuration information to the network resources.

Abstract: Methods, systems, and computer readable media for collecting and distributing Diameter overload control information to non-adjacent nodes are disclosed. One system for implementing the subject matter described herein includes a Diameter overload control information broker. The Diameter overload control information broker includes a Diameter overload control information collector for receiving Diameter overload control information from at least one Diameter node separate from the Diameter overload control information broker. The broker includes a memory for storing the overload control information. The broker further includes a Diameter overload control information distributor for distributing the Diameter overload control information to at least one Diameter node that is not adjacent to the at least one Diameter node from which the overload control information was received.

Abstract: Methods, systems, and computer readable media for mitigating traffic storms are provided herein. In some aspects, a system for mitigating traffic storms includes a traffic storm detector configured to detect an indication of a traffic storm. The system may also include a software defined network (SDN) controller configured to generate and send SDN commands to a controllable network entity for mitigating the traffic storm. In some aspects, a method for mitigating traffic storms includes detecting an indication of a traffic storm, wherein the traffic storm includes a burst of message traffic in a network. The method further includes sending one or more SDN commands to a controllable and/or controlled network entity to mitigate the traffic storm.