Abstract: A water irrigation system is provided for irrigating a plurality of zones. The water irrigation system includes a set of acoustic pressure modulators for generating a set of modulated acoustic pressure signals that include an actuating pressure signal and a de-actuating pressure signal. The set of acoustic pressure modulators include different subsets. The different subsets control different ones of the plurality of zones by selectively providing the same or different ones of the actuating and de-actuating pressure signals to the different ones of the plurality of zones at any given time. The water irrigation system further includes a set of acoustically-reactive irrigating elements disposed in each of the plurality of zones, each including an acoustically-reactive oscillating disk based water emitter. The acoustically-reactive oscillating disk based water emitter is selectively actuated or de-actuated responsive to the actuating pressure signal and the de-actuating pressure signal, respectively.

Abstract: A system and method for water irrigation system are provided. The water irrigation system includes a set of pressure modulators for generating a set of modulated pressure signals that include an actuating pressure signal and a de-actuating pressure signal. The water irrigation system includes a set of irrigating elements. Each of the irrigating elements includes a water emitter connected to a pressure sensing circuit. The pressure sensing circuit is for actuating the water emitter responsive to the actuating signal and de-actuating the water emitter responsive to the de-actuating signal. The water irrigation system further includes tubing for carrying water for irrigation and the modulated pressure signals to the irrigating element.

Abstract: Described herein is a method of controlling soil moisture, water accumulation and fertilizer distribution in land. Elevation location data for land areas are extracted from two or more pixels of a topographic image including topographic data. Each pixel represents a land area. Wetness indices for the land areas are determined from the elevation and location data, based on the slope between two or more defined areas of land and an upslope contributing area per unit contour length. At risk defined areas of land, e.g., those at risk of accumulating water are identified based on wetness indices. Water is transported from the at risk defined areas of land to another location. The transporting of water reduces the risk of accumulating water in the at risk defined areas of land and improves crop growth potential in those areas.

Abstract: A computer-implemented method for crop type identification using satellite observation and weather data. The method includes extracting current and historical data from pixels of satellite images of a target region, generating temporal sequences of vegetation indices, based on the weather data, converting each timestamp of the temporal sequences into a modified temporal variable correlating with actual crop growth, training a classifier using a set of historical temporal sequences of vegetation indices with respect to the modified temporal variable as training features and corresponding historically known crop types as training labels, identifying a crop type for each pixel location within the satellite images using the trained classifier and the historical temporal sequences of vegetation indices with respect to the modified temporal variable for a current crop season, and estimating a crop acreage value by aggregating identified pixels associated with the crop type.

Abstract: A computer-implemented method is provided for improving farm management by determining farm boundary delineations within a target geographic area based on crop recognition. The method includes evaluating the data using a classification algorithm to generate one or more line segments at an interface separating each pixel in at least one pair of adjacent pixels. It also includes connecting the one or more line segments to an adjacent line segment to form a boundary delineation. The method further includes generating a boundary delineation map including the boundary delineation as well as generating a farm management plan including the boundary delineation map and a recommended crop type. The farm management plan can be generated based on at least a type of vegetation present.

Abstract: Described herein is a method of controlling soil moisture, water accumulation and fertilizer distribution in land. Elevation location data for land areas are extracted from two or more pixels of a topographic image including topographic data. Each pixel represents a land area. Wetness indices for the land areas are determined from the elevation and location data, based on the slope between two or more defined areas of land and an upslope contributing area per unit contour length. At risk defined areas of land, e.g., those at risk of accumulating water are identified based on wetness indices. Water is transported from the at risk defined areas of land to another location. The transporting of water reduces the risk of accumulating water in the at risk defined areas of land and improves crop growth potential in those areas.

Abstract: A computer-implemented method for determining farm boundary delineations within a target geographic area, comprising extracting data from pixels of a satellite image of the target geographic area, evaluating the data using a classification algorithm to generate one or more line segments between adjacent pixels, the one or more line segments being representative of a portion of a boundary delineation, connecting the one or more line segments to an adjacent line segment to form a boundary delineation defining at least one parcel of land within the target geographic area, and generating a boundary delineation map including the boundary delineation.

Abstract: Embodiments of the invention are directed to an integrated sensing system that includes a movable orientation device configured to dynamically position the movable orientation device based on receiving an air-flow. A gas sensor is coupled to the movable orientation device. The gas sensor includes a recognition element configured to detect a chemical in a plume. The movable orientation device is configured to perform a synchronized sensing operation that includes, based at least in part on the movable orientation device receiving the air-flow, moving the movable orientation device to dynamically maintain a predetermined orientation of the movable orientation device relative to a direction of the air-flow. The predetermined orientation includes positioning the gas sensor in a path of the air-flow, wherein the air-flow is influencing the plume to move along the path such that the recognition element is exposed to the plume.

Abstract: Embodiments for controlling precipitation collection vessels to accurately and efficiently collect, measure, and aggregate precipitation accumulation data are disclosed. In one embodiment according to aspects of the present invention, a computer-implemented method includes measuring a frozen precipitation level of the frozen precipitation in a collection vessel. The method further includes heating the collection vessel to convert the frozen precipitation into melted precipitation. The method further includes measuring a melted precipitation level to determine an equivalent water accumulation of the frozen precipitation.

Abstract: Embodiments for controlling precipitation collection vessels to accurately and efficiently collect, measure, and aggregate precipitation accumulation data are disclosed. In one embodiment according to aspects of the present invention, a computer-implemented method includes collecting snow in a plurality of collection vessels by orienting an open end of each of the plurality of collection vessels perpendicularly to a direction of the wind based at least in part on a wind model. The computer-implemented method further includes measuring a snow level of the snow in each of the plurality of collection vessels to generate snow level data for each of the plurality of collection vessels. The computer-implemented method further includes aggregating the snow level data for each of the plurality of snow collection by assembling the snow accumulation data from each of the plurality of collection vessels.

Abstract: Various embodiments provide a customized cosmetics recommendation for a specific user. In one embodiment a method comprises capturing an image that includes the face of the specific user, producing a set of hyperspectral images from the image, analyzing the hyperspectral images to determine a set of spectral components of the face, and providing a recommendation for one or more cosmetics customized for the specific user based on the set of spectral components and cosmetician expert judgement. The image may be captured using a hyperspectral imaging camera. The set of spectral components is compared to a plurality of previous sets of spectral components to find a match and one or more cosmetics mapped to the match are provided as the recommendation. Additionally, a set of conditional options may be received and one or more cosmetics mapped to the set of conditional options and the set of spectral components are provided as the recommendation.

Abstract: An embodiment includes dividing a map into a first grid comprising a first plurality of cells with a first resolution and into a second grid comprising a second plurality of cells with a second resolution; determining that, because an initial portion of a key of a first cell of the second grid comprises a key of a first cell of the first grid, the first cell of the first grid comprises the first cell of the second grid; storing the first and the second grid in memories of distributed servers, wherein the first cell of the first grid and the first cell of the second grid are stored in a same one of the distributed servers or are stored in neighboring ones of the distributed servers; and directing respective processors of the distributed servers to perform a parallel search of the first grid and the second grid using the keys.

Abstract: A steering control system for a commercial vehicle having braking and steering systems. The braking system brakes dissymetrically side wheels of the vehicle. The steering system steers the vehicle based on a steering signal. The steering control system includes selection and control modules. The selection module switches between first and second steering modes. The first mode indicates steering of the vehicle by turning vehicle wheels. The second mode indicates steering of the vehicle by generating a braking signal for at least one wheel providing a yaw moment applied to the vehicle. The control module generates the first signal indicating a steering demand in the first mode and a second signal indicating a steering demand in the second mode. The control module provides the first signal to the steering system and the second signal to the braking system to brake the vehicle dissymetrically to steer the vehicle with the yaw moment.

Abstract: Techniques for facilitating event driven gas sensing and source attribution are provided. In one example, a computer-implemented method comprises generating, by a device operatively coupled to a processor, a gas sensor signal indicative of sensing a gas based on the sensing the gas by one or more sensors. Additionally, the computer-implemented method can comprise converting, by the device, the gas sensor signal from an analog signal to a digital signal to identify one or more peak events based on the digital signal being determined to have satisfied a condition.

Abstract: A computer-implemented method executed by one or more satellites for assessing crop development by using synthetic aperture radar (SAR) is presented. The method includes generating SAR images from scanning fields including crops, monitoring grown of the crops within the fields during a predetermined time period, and estimating a height of the crops during the predetermined time period by using interferometric information from one or more of the SAR images and tracking change in height and growth rates. The method further includes differentiating between crops in different fields by monitoring changes in the height of the crops during an entire growing season.

Abstract: A system and method are provided. The system includes a set of smart shelves. Each of the smart shelves has a mesh arrangement of sensors that include strain sensors, photodetectors, microphones, and spillage sensors placed on a bottom thereof to form a sensor mesh layer for generating a signal representative of a product count for a given product to be sold from a corresponding one of the smart shelves. The system further includes a data processing system for transforming the signal from each of the smart shelves into a product count value therefor. The system also includes a set of video displays for displaying characteristics of the given product to be sold from each of the smart shelves. The system additionally includes a set of wireless radios for transmitting the characteristics of the given product to be sold from each of the smart shelves to the set of video displays.

Abstract: A method for tracking objects in a two-dimensional space includes first tracking devices that are activated to read tagged objects within the reading ranges of the first tracking devices. Second tracking devices are activated to read tagged objects within the reading ranges of the second tracking devices. The tagged objects read by each first tracking device are compared to the tagged objects read by each second tracking device, and based on the locations of the tagged objects read by the first and second tracking devices, the locations of the tagged objects are determined.

Abstract: A weighing station device, a computer-implemented method and a computer program product for estimating a weight of an animal. The weighing station device includes a stall for the animal, a camera in the stall that is activated to capture a plurality of digital images of the animal when a presence of the animal is detected at the stall. A processor obtains the plurality of digital images from the camera, constructs a three-dimensional digital image of the animal from the plurality of digital images, determines a dimension of the animal from the three-dimensional digital image, and estimates the weight of the animal from the determined dimension and a model relating the dimension of the animal to the weight of the animal.

Abstract: A system includes a plurality of optical sensors located along at least one pipe segment of a rotating arm that pivots around an irrigation area of a field, the plurality of optical sensors continuously monitors soil and vegetation conditions and transmits sensed data to a central computer, and a plurality of in-ground sensors scattered in the irrigation area of the field, the plurality of in-ground sensors continuously monitors soil conditions and transmits sensed data to a plurality of gateway devices located in the rotating arm, the plurality of gateway devices transmits data from the plurality of in-ground sensors to the central computer where data from the plurality of optical sensors and the plurality of in-ground sensors is integrated with external data to determine water and fertilizer needs based on which an irrigation schedule is created.

Abstract: A method for tracking objects in a two-dimensional space includes first tracking devices that are activated to read tagged objects within the reading ranges of the first tracking devices. Second tracking devices are activated to read tagged objects within the reading ranges of the second tracking devices. The tagged objects read by each first tracking device are compared to the tagged objects read by each second tracking device, and based on the locations of the tagged objects read by the first and second tracking devices, the locations of the tagged objects are determined.