Abstract: Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to an agricultural observation and treatment system and method of operation. The agricultural treatment system may determine a first real-world geo-spatial location of the treatment system. The system can receive captured images depicting real-world agricultural objects of a geographic scene. The system can associate captured images with the determined geo-spatial location of the treatment system. The treatment system can identify, from a group of mapped and indexed images, images having a second real-word geo-spatial location that is proximate with the first real-world geo-spatial location. The treatment system can compare at least a portion of the identified images with at least a portion of the captured images. The treatment system can determine a target object and emit a fluid projectile at the target object using a treatment device.

Abstract: A collar for connecting ducting components is provided. The collar includes a tubular wall having a line end and a free end, an annular flange extending radially outwardly from the line end, and a plurality of retaining tabs extending outwardly from the free end. A plurality of locking members are provided at the line end. The locking members are configured to releasably secure the flange to an adjacent member.

Abstract: Systems and methods of propagating data within an integrated circuit includes: identifying a coarse data propagation path for distinct subsets of data of an input dataset that includes: setting inter-core data movements for the distinct subsets of data, the inter-core data movements defining a predetermined propagation of a given subset of data between two or more of a plurality of cores of an integrated circuit array of the integrated circuit; identifying a granular data propagation path for each distinct subset of data that includes: setting intra-core data movements for each distinct subset of data, the intra-core data movements defining a predetermined propagation of the given subset of data within one or more of the plurality of cores of the integrated circuit array of the integrated circuit; enabling a flow of the input dataset within the integrated circuit based on the coarse data propagation path and the granular propagation path.

Abstract: Devices and methods of minimizing the temporal error between pixels or groups of pixels on a focal plane array involving, on a focal plane array comprising at least two pixels or groups of pixels, at least one counter or ramp, and at least one trigger: determining the timing error associated with a time stamp associated with the at least two pixels or groups of pixels; storing the timing error associated with the at least two pixels or groups of pixels and the pixel or pixel group location; and using the stored timing error and pixel or pixel group location to correct subsequent time stamps associated with the at least two pixels or groups of pixels, wherein the timing error corresponds to a systematic error between the trigger and the counter or ramp value due to the location of a pixel or group of pixels on the focal plane array.

Abstract: Systems and methods for virtually partitioning an integrated circuit includes identifying dimensional attributes of a target input dataset; selecting a data partitioning scheme from a plurality of distinct data partitioning schemes for the target input dataset based on: the dimensional attributes of the target dataset, and architectural attributes of an integrated circuit; disintegrating the target dataset into a plurality of distinct subsets of data based on the selected data partitioning scheme; identifying a virtual processing core partitioning scheme from a plurality of distinct processing core partitioning schemes for an architecture of the integrated circuit based on the disintegration of the target input dataset; virtually partitioning the architecture of the integrated circuit into a plurality of distinct partitions of processing cores of the integrated circuit; and mapping each of the plurality of distinct subsets of data to one of the plurality of distinct partitions of processing cores of the integ

Abstract: Separation of linear and branched alkane isomers via selective permeation through a composite membrane is disclosed. The separation layer in the composite membrane is fabricated from a blend of at least two different fluoropolymer compositions, A and B, in which composition A has a normal-alkane isomer permeability that is greater than composition B. Composition B has a normal alkane to branched-alkane isomer selectivity that is equal or greater than composition A. The separation layer in the composite membrane has a normal-alkane permeability that is greater than composition B and a normal-alkane to branched alkane isomer selectivity that is greater than composition A.

Abstract: Devices and methods of minimizing the temporal error between pixels or groups of pixels on a focal plane array involving, on a focal plane array comprising at least two pixels or groups of pixels, at least one counter or ramp, and at least one trigger: determining the timing error associated with a time stamp associated with the at least two pixels or groups of pixels; storing the timing error associated with the at least two pixels or groups of pixels and the pixel or pixel group location; and using the stored timing error and pixel or pixel group location to correct subsequent time stamps associated with the at least two pixels or groups of pixels, wherein the timing error corresponds to a systematic error between the trigger and the counter or ramp value due to the location of a pixel or group of pixels on the focal plane array.

Abstract: Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object.

Abstract: Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object. In some examples, a method may include, at least, detecting an optical sight to align with an associated agricultural object, tracking the agricultural objects relative to the optical sight, predicting a parameter to track in association with agricultural object, and activating an emitter to apply an action based on the parameter.

Abstract: Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object.

Abstract: Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object. In some examples, a method may include, receiving data representing a policy specifying a type of action for an agricultural object, selecting an emitter with which to perform a type of action for the agricultural object as one of one or more classified subsets, and configuring the agricultural projectile delivery system to activate an emitter to propel an agricultural projectile to intercept the agricultural object.

Abstract: Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object. In some examples, a method may include receiving data representing an image, detecting a portion of the image associated with a unit of spatial translation relative to a reference, identifying a subset of pixels to be formed on the surface, and causing emission of a subset of pixel projectiles directed to impact a portion of a surface to form a replica of a portion of the image.

Abstract: Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object.

Abstract: Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object. In some examples, a method may include calculating an amount of light originating from a light source sensed at a location in which an agricultural object is interposed between the light source and an image capture device, causing emission of an obscurant, and directing the obscurant to a region interposed between the light source and the agricultural object.

Abstract: Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object.

Abstract: Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object. In some examples, a method may include identifying a subset of payloads to provide one or more actions based on data representing a policy for one or more subsets of agricultural objects, causing one or more cartridges to be charged based on the subset of payloads, and, and implementing one or more cartridges at an agricultural projectile delivery system.

Abstract: An animal feeder for use in an electronic animal feeding system comprising a computer controller, a feed storage, a feed delivery system, and at least one feeding station comprising the feeder, a bowl and an identifier, the feeder comprising a reservoir for receiving feed and comprising an agitator for agitating the feed inside the reservoir and a dosage tray, a motor assembly comprising a motor actuatable by the computer controller, the motor rotating the agitator and the dosage tray such that the dosage tray receives a pre-determined dosage of feed from the reservoir, the motor assembly further comprising a detector detecting the rotation of the dosage tray and communicating a rotation status to the computer controller, and a funnel assembly comprising an upper funnel transferring feed from the reservoir to the bowl, wherein an alarm is activatable by the computer controller if a blockage is detected by the detector.

Abstract: A vehicle leveling system includes a jack adapted to be mounted to a vehicle frame without modifying the vehicle frame. In a particular embodiment, the jack includes a first bracket adapted to urge against the bottom and side surfaces of a member of the frame and configured to be fastened to a member of the frame through a manufacturer-provided aperture in the frame. The jack additionally includes a second bracket to couple the first bracket to the jack. In a more particular embodiment, the first bracket includes a horizontal adjustment feature, and the second bracket includes a vertical adjustment feature.

Abstract: A pixel, is provided the pixel comprising: a photodiode structure built on top of an integrated circuit generating a charge; the integrated circuit comprising at least one semiconductor material and at least one interconnect layer; the at least one interconnect layer comprises an interconnect to facilitate charge flowing into a collection node disposed in the semiconductor material; the interconnect being in contact with a doped contact diffusion disposed proximate to the collection node; a transfer transistor disposed between the collection node and a conversion node, the conversion node coupled to an active transistor; the pixel having a reset configured to reset the conversion node.

Abstract: A vehicle leveling system includes a jack adapted to be mounted to a vehicle frame without modifying the vehicle frame. In a particular embodiment, the jack includes a first bracket adapted to urge against the bottom and side surfaces of a member of the frame and configured to be fastened to a member of the frame through a manufacturer-provided aperture in the frame. The jack additionally includes a second bracket to couple the first bracket to the jack. In a more particular embodiment, the first bracket includes a horizontal adjustment feature, and the second bracket includes a vertical adjustment feature.