Abstract: Disclosed is a data analysis-based intelligent deformation monitoring system for mountain landslides, which solves the technical problem in the prior art that when a landslide occurs in a landslide area, it is not possible to implement region-specific monitoring for landslide soil, thus failing to minimize the real-time impact of the landslide area. The present disclosure involves marking a sub-area where a landslide occurs as a landslide area, marking a real-time sliding direction within the landslide area as a landslide flow direction, setting areas at both sides of the landslide flow direction as landslide slopes, generating a control adjustment signal or a risk monitoring signal through landslide slope analysis, and sending the signal to a server.

Abstract: Disclosed herein is a robot generating a map based on multi sensors and artificial intelligence and moving based on the map, the robot according to an embodiment including a controller generating a pose graph that includes a LiDAR branch including one or more LiDAR frames, a visual branch including one or more visual frames, and a backbone including two or more frame nodes registered with any one or more of the LiDAR frames or the visual frames, and generating orodometry information that is generated while the robot is moving between the frame nodes.

Abstract: The disclosure relates to a soil distribution planning system. The soil distribution planning system according to an embodiment includes a grid-model generation module configured to receive information about three-dimensional (3D) topography, ground and a target model and generate a 3D grid model by dividing a target area; an earthwork-volume calculation module configured to calculate an earthwork volume of each grid model generated by the grid-model generation module and store the calculated earthwork volume in a database; and an earthwork-volume distribution module configured to distribute the earthwork volume of a cutting area to a banking area based on the earthwork volume stored in the database.

Abstract: A method and system for zone mapping displays a geographic area to a user and receives input from the user identifying a zone of the geographic area. An identification of an agricultural material to be applied in the zone is also received and an application plan is generated in response. The application plan is generated based on features identified in the zone, the agricultural material to be applied, and application requirements and restrictions associated with the agricultural material that are identified by the manufacturer of the material and, in some cases, governmental agencies. The agricultural machine tracks the application of the agricultural material and transmits application information for storage in the zone mapping system for later retrieval in response to requests, such as compliance requests.

Abstract: Agricultural machines utilize global positioning systems (GPS) to acquire the location of the machine as well as the location of an event, which may be based upon an operation of the agricultural machine. Because of the possibility of outage and/or inaccuracy of the GPS, a GPS augmentation system can be included with the agricultural machine. The GPS augmentation system can supplement the location determination of the GPS, or can be used in place of the GPS when the GPS is not available. An unmanned vehicle can also be used as part of the augmentation system to provide additional information for the location of the agricultural machine and/or the event.

Abstract: A method includes determining an operational condition associated with an unmanned aerial vehicle (UAV). The method includes, responsive to determining the operational condition, causing the UAV to perform a pre-flight check. The pre-flight check includes hovering the UAV above a takeoff location. The pre-flight check includes, while hovering the UAV, moving one or more controllable components of the UAV in accordance with a predetermined sequence of movements. The pre-flight check includes obtaining, by one or more sensors of the UAV, sensor data indicative of a flight response of the UAV to moving the one or more controllable components while hovering the UAV. The pre-flight check includes comparing the sensor data to expected sensor data associated with an expected flight response to the predetermined sequence of movements while hovering the UAV. The pre-flight check includes, based on comparing the sensor data to the expected sensor data, evaluating performance of the UAV.

Abstract: Systems, methods, and computer-readable media for matching a job to a plurality of workers are described herein. A user device is associated with a worker from the plurality of workers. A processing circuit is structured to receive an electronic request. The electronic request comprises a data set related to the job. The processing circuit is further structured to generate a local disaster data set and a test requirement data set. The processing circuit is further structured to select at least one worker. The processing circuit is further structured to cause a client application deployed to the user device to display an electronic notification comprising at least in part the data set related to the job, a risk level rating, a risk level pay premium corresponding to the risk level rating, and an accept control structured to allow the worker to accept the job.

Abstract: The embodiments disclose a method including creating a live time connection platform for providing users with live time connection application purposes including augmented reality, users logged into the live time connection application earn from a group of compensation forms comprising cryptocurrency, fiat money, credit, and award for their participation on the application per unit of time, users logged into the live time connection application earn to access saved data including at least one from a group of videos, GIFs, texts, blogs, pictures, feeds, multisensory experiences, and other content, users using earnings make purchases from advertisers at an on-line store, using digital devices to login to the live time connection application, providing security to look for key words from user reported connection abuses, flagging abusers and reporting to police where appropriate, and providing geo advertising facilitates users choosing targeted advertising according to their interests and demographics from advert

Abstract: A computer-implemented method of controlling a mobile agricultural machine includes obtaining prior field data representing a position of plants in a field, obtaining in situ plant detection data from operation of the mobile agricultural machine in the field, determining a position error in the prior field data based on the in situ plant detection data, and generating a control signal that controls the mobile agricultural machine based on the determined position error.

Abstract: Disclosed herein are methods and systems for painting driving assistance markings using one or more paint materials which are visible in a plurality of light spectral ranges, in particular, visible light and one or more infrared light spectral ranges. Further disclosed are methods and systems for analyzing images captured in multiple spectral ranges to identify the driving assistance markings and/or part thereof in a plurality of different spectral ranges and identify aggregated driving assistance markings by aggregating the driving assistance markings identified in the plurality of different spectral ranges. Also disclosed herein are methods and systems for presenting and detecting enhanced driving assistance markings on one or more elements under one or more paint materials which are highly transparent in one or more infrared spectral ranges while reflecting visible light conforming to a color of the element(s) surface thus not affecting appearance of the element(s) in the visible light spectrum.

Abstract: A concept of characterizing an object based on measurement samples from one or more location sensors, the measurement samples having a first spatial resolution. The measurement samples are quantized to a grid map of weighted cells having a second spatial resolution lower than the first spatial resolution, wherein a measurement sample contributes to a weight coefficient of one or more weighted cells depending on a measurement accuracy. Parameters of one or more lines fitting the weighted cells are computed to obtain a characterization of the object.

Abstract: A response to a first query related to a geographic area, and search results responsive to a second query related to the geographic area, are received from a server system. A digital map of the geographic is provided via a user interface. A focus is provided to the first query to illustrate the response on the digital map, where the response defines a geographic context. A subset of the search results is identified based on a relationship to the geographic context. The search results in the identified subset are visually emphasized on the digital map relative to the rest of the search results.

Abstract: A three-dimensional sensor generates multiple items of line data with respect to multiple horizontal lines arranged at different heights. Multiple first neural networks each generate first intermediate data relating to a corresponding item from among the multiple items of line data. Each first intermediate data indicates the probability of matching between the corresponding line data and each of multiple portions of multiple kinds. A combining processing unit receives the multiple items of first intermediate data, and combines the first intermediate data thus received so as to generate at least one item of second intermediate data. A second neural network receives the at least one item of second intermediate data, and generates final data that indicates the probability of matching between the object and each of the multiple kinds.

Abstract: Systems and techniques for navigation in a GPS-denied environment that do not rely on locations of known points. Instead, the operator can measure distance and/or inclination as well as azimuth to arbitrary points on the visual horizon (or sub-horizon) from their location. These observations can then be compared to precomputed distances and inclinations for corresponding azimuths to the visual horizon of a grid of points based on known surface terrain data. The closest grid point to the observer's location obtained in this way can be refined using a model of the surrounding environment, allowing for the operators position to be quickly and accurately determined.

Abstract: Systems and methods for identifying operational abnormalities based on data received from an agricultural implement performing a task in an agricultural field are described herein. In an embodiment, a system receives time-series data captured from an agricultural implement performing an agronomic activity on an agricultural field, the time-series data including, for each of a plurality of timestamps, a location of the agricultural implement. The system identifies a plurality of passes in the time-series data and using the identified plurality of passes, identifies a plurality of location on the agricultural field in which the activity performed by the agricultural implement included a particular operational abnormality. The system generates a map of operational abnormalities for the agricultural field, the map of operational abnormalities including the plurality of locations on the agricultural field in which the activity performed by the agricultural implement included the particular operational abnormality.

Abstract: An agriculture support system includes a data obtaining device to obtain at least one type of data among a plurality of types of data relating to planting of crops, a mesh setting device to allocate, as divided data, the data obtained by the data obtaining device to each of areas of an agricultural field in which the crops are planted, a first map display to relate, to a location of the agricultural field, the divided data allocated to each of the areas by the mesh setting device and to display the divided data as a first field map, a spreading setting device to set a spreading amount of spread substance in each of the areas based on the divided data of each of the areas, and a second map display to relate, to the location of the agricultural field, the spreading amount and to display the spreading amount.

Abstract: Hazard-resultant effects to land and buildings are predicted based on various inputs. Hazards may include any appropriate type of hazard (e.g., flood, wildfire, climate-related hazards, or the like). Inputs may include the likelihood that that a specific type of hazard may occur for various scenarios, terrestrial boundaries, property boundaries, census geographies, or the like. Relationships between the inputs are determined and used to quantify parameters pertaining to a specific type of hazard. For example, the depth of flood water may be predicted for a particular terrestrial boundary, a city or town, or a building, for specific climate scenarios. A risk likelihood of the quantified parameter may be determined for a particular period of time and environment. For example, flooding to a building may be determined, broken down by depth threshold and year of annual risk for specific climate scenarios. Economic loss also may be predicted.

Abstract: The embodiments of the present disclosure relate to the technical field of GeoComputation, and particularly relates to a method and an apparatus for parsing structured parameters of a GeoComputation language, a device and a storage medium, which aim to parse structured expressions in a DAS document. The method includes: reading GeoComputation task parameters in a DAS document; parsing a structured expression in the GeoComputation task parameters to obtain a task parameter containing a basic expression; and executing a corresponding GeoComputation task according to the task parameter containing the basic expression to obtain a calculation result.

Abstract: An apparatus comprising a processor and memory including computer program code, the memory and computer program code configured to, with the processor, enable the apparatus at least to: generate, in respect of a road intersection, grouped probe data using probe data derived from probed vehicular movements through the road intersection, wherein the grouped probe data is generated by grouping together probe data comprising vehicle trajectories which have respective common heading angles at points of entry to and exit from the road intersection; and provide the grouped probe data for use in lane-level mapping of the road intersection.

Abstract: A method for agricultural land parcel valuation includes: accessing data for parcels within a prescribed region, the data comprising management practices, historical weather conditions, locations and topography, remote sense images, soil types, and crop types; assessing and ranking the management practices for each of the parcels; generating simulation inputs for the each of the parcels, where the simulation inputs comprise highest ranked management practices, the historical weather conditions, the locations and topography, the soil types, and the crop types; simulating crop growth for the each of the parcels over a prescribed number of previous years, where the simulating employs the simulation inputs provided by the generating; and employing selected outputs from the simulating to calculate agricultural metrics and a weighted valuation corresponding to the each of the parcels, where the agricultural metrics and the weighted valuation for the each of the parcels are expressed relative to all of the parcels w

Abstract: Methods and systems for analyzing a field. The methods and systems acquire a thermal image indicative of thermal energy emitted by the soil and/or plants in the field and process the thermal image to assess variations in certain characteristics of the soil and/or plants.

Abstract: A method for agricultural land parcel valuation includes: accessing data for parcels within a prescribed region, the data comprising management practices, historical weather conditions, locations and topography, remote sense images, soil types, and crop types; assessing and ranking the management practices for each of the parcels; generating simulation inputs for the each of the parcels, where the simulation inputs comprise highest ranked management practices, the historical weather conditions, the locations and topography, the soil types, and the crop types; simulating crop growth for the each of the parcels over a prescribed number of previous years, where the simulating employs the simulation inputs provided by the generating; and employing selected outputs from the simulating to calculate agricultural metrics and a valuation corresponding to the each of the parcels, where the agricultural metrics include a sustainability metric.

Abstract: A computer-implemented method of targeting grower fields for crop yield lift is disclosed. The method comprises receiving, by a processor, crop seeding rate data and corresponding crop yield data over a period of time regarding a group of fields associated with a plurality of grower devices; receiving, by the processor, a current seeding rate for a grower's field associated with one of a plurality of grower devices; determining, whether the grower's field will be responsive to increasing a crop seeding rate for the grower's field from the current seeding rate to a target seeding rate based on the crop seeding rate data and corresponding crop yield data; preparing, in response to determining that the grower's field will be responsive, a prescription including a new crop seeding rate and a specific hybrid to be implemented in the grower's field.

Abstract: A method for obtaining a three-dimensional model of an inspection site, using a perception module, is disclosed. The perception module comprises a detection unit, e.g. comprising one or more cameras and/or a three-dimensional laser scanner, configured to obtain a three-dimensional image. At least one three-dimensional image is obtained by means of the detection unit. A three-dimensional model of surroundings of the perception module is created, based on the obtained three-dimensional image. The created three-dimensional model and a plan of the inspection site are compared and features of the created three-dimensional model and features of the plan of the inspection site are matched. A site-specific three-dimensional model of the inspection site is formed, based on the created three-dimensional model and the plan of the inspection site, and based on the comparison.

Abstract: An integrative computational soil mapping system and process that reduces the required number of soil property measurements without jeopardizing the statistical precision of the resulting digital soil maps. The integrative computational soil mapping system and process saves monetary resources and time by reducing the number of soil property measurements required to produce digital soil maps and by offering soil sample locations which capture the maximum amount of representativeness of the soil characteristics in a determined area. In addition, the inventive system and process are integrative computational soil mapping that utilize algorithms based on state-of-the-art computational statistics and machine learning methods for the production of digital soil property maps and also provides soil sampling locations to collect new soil property measurements.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: Systems and methods for predictive management of plants. Agricultural (and natural resource) managers may have a multitude of data sets and data sources available, but often lack a meaningful or proven way to assimilate all available data and then conclusively select actions. For example, a vineyard manager may be able to collect data about local and regional weather, precipitation, disease prevalence, insect prevalence, pesticide use, crop varietal, cover crop selection and many other inputs to a predictive machine-learning vineyard management engine. As all this data is collected through local devices and third-party services, a prediction model may be used to determine specific outcomes or recommended actions based on the trained predictive model. For example, the model may be used to predict optimal harvest date, disease spread and vector spread, pest spread and impact, best pesticide use, irrigation plans, fruit quality, and the like.

Abstract: An ecological restoration method for a lake wetland against effects of water level rise in a dry season includes: collecting basic data of a lake; determining wetland phytoremediation species of the lake; determining characteristic water levels of the lake under a baseline scenario and under different water level rise scenarios; determining a restoration range based on wetland types corresponding to different characteristic water levels; selecting an experimental restoration area from the restoration range, and performing ecological restoration; and monitoring a plant community state and waterbird biodiversity, judging whether the restoration reaches a preset goal, and adjusting the method if the restoration does not reach the preset goal. According to the method, the effects of water level rise in the dry season on wetland habitat, biodiversity, ecosystem services and the like can be relieved to the greatest extent, so that an ecological restoration effect of the lake wetland is improved.

Abstract: The present disclosure generally relates to navigating, viewing, and sharing activity and workout data and interacting with workout and/or activity applications. In some examples, scrolling of activity data is based on the content being displayed. In some examples, friends' activity data may be viewed. In some examples, a notification and workout data for a friend's completed workout is received and displayed. In some example, the activity data received from friends is viewed and managed. In some examples, workout data for a multi-segment workout is displayed in a three-dimensional stack on a map. In some examples, a workout application operates in a limited mode until a touch input is received with a characteristic intensity that is greater than a threshold intensity.

Abstract: A computer-implemented method includes obtaining field data for a field that was generated prior to an agricultural harvesting machine operating on the field, the field data representing an estimated yield, obtaining yield data, that is georeferenced to the field, based on a signal from a yield sensor on the agricultural harvesting machine, applying a flow model to the yield data to generate a yield map, the flow model having a set of parameters that models material flow through a harvesting system of the agricultural harvesting machine, obtaining an adjusted set of parameters based on a correlation between the yield map and the estimated yield, modifying the yield map based on the adjusted set of parameters, and generating a control signal based on the modified yield map.

Abstract: [Problem to be Solved] The object is to provide a device, a method and the like which, when a fault occurs, particularly when a fault occurs in an operation of some of rotary wings, can control a flight depending on the fault, or which can be at least used for control when a fault occurs, or which can detect the fault.

Abstract: A method, an apparatus, and a device for classifying LiDAR point cloud data, and a storage medium. The method includes: acquiring sample point cloud data and LiDAR point cloud data to be classified; building a point cloud classifier according to the sample point cloud data; classifying the LiDAR point cloud data to be classified by the point cloud classifier. In the present disclosure, the point cloud classifier is trained from the sample point cloud data, and the automatic classification is performed by the point cloud classifier for the LiDAR point cloud data to be classified. The sample point cloud data used for training the point cloud classifier includes various tower data and electric power line data. Moreover, after the classification result is obtained from the automatic classification, the speckling merging optimization is further performed, and the optimization is performed according to the tower position file and the preset optimization rule.

Abstract: A vertical axis wind turbine system for generating electricity. The whole turbine and the generator is structured around a single pole in the center. The pole holds the whole system together and supports the entire system. The System includes a turbine and a generator assembly. It consists of multiple folded L-shaped rectangle blades, which are structured around an empty cylinder whose purpose is to force air to go around it and into the blades for better efficiency. The empty cylinder is attached to the pole in the center of the system. The blades are attached to a bearing that spins around the pole on the top end and attached to the rotor on the bottom end of the empty cylinder. Each blade is folded at an angle to reduce the drag of the returning blades without compromising the surface area of the going blades.

Abstract: Systems and methods are disclosed for guiding image capture of a subject by determining a location of the subject and presenting on a display graphical guides representative of perspective views of the subject to be captured. Images of the subject may then be captured and additional graphical guides are presented to the user for display for additional images to be captured. Images may be captured in a predetermined sequence of graphical guides or responsive to a user input or camera information. Captured images may be uploaded to a system for additional processing.

Abstract: An example computer-implemented method includes receiving a plurality of agricultural data records including yield properties of products grown in fields and raw field features of the fields. The method also includes transforming the raw field features into distinct feature classes that characterize key features affecting yield of the one or more products, and generating, using data from the plurality of agricultural data records and the distinct feature classes, genomic-by-environmental relationships between one or more products, yield properties of the one or more products, and field features associated with the one or more products.

Abstract: Computer systems and methods of spatially-indexing agricultural content involve inputting agricultural content comprising spatial data and spatially-indexing the agricultural are disclosed herein. In an example, the computer systems and methods involve identifying from the spatial data a set of geospatial boundaries for the agricultural content. The computer systems and methods also involve indexing the agricultural content to the identified geospatial boundaries. The computer systems and methods further involve cross-referencing the indexed agricultural data with a plurality of sets of geospatial boundaries for a plurality of fields. The computer systems and methods additionally involve indexing the agricultural content to one or more of the plurality of fields when the cross-referencing identifies an overlap between the geospatial boundaries of the indexed agricultural data and one or more of the geospatial boundaries of the plurality of fields.

Abstract: Methods, systems, and computer programs are presented for a flood-recovery analysis tool. One method includes operations for accessing weather information for a geographical region divided into cells and for generating runoff data based on the weather information. The runoff data includes a predicted amount of free-running water on a surface of each cell of the region. Further, the method includes operations for generating a prediction of inflow and outflow of water between cells, and for calculating, for a plurality of sub-cells of each cell in the geographical region, a predicted water depth in each sub-cell based on the prediction of the inflow and outflow between cells and a hydraulic model. Additionally, the method includes operations for generating a flood inundation map showing the predicted water depth at each sub-cell in the geographical region, and for causing presentation of the flood inundation map in a user interface of a display device.

Abstract: A matching algorithm and device for data with different scales based on global road network features are provided. The method includes: loading data of different maps, constructing crossroad groups in each map, and extracting information on attributes of the crossroad groups; allocating, according to the importance degree of the attribute information, weights for each attribute of the crossroad groups, and comprehensively evaluating confidence values of matching between two crossroad groups in different maps; and constructing, according to the confidence values, matched road networks, calculating total confidence values of the matched road networks, and selecting a road network with the highest total confidence value as an optimal matching solution, namely a matching result.

Abstract: In one embodiment, an attribute application associates content with a road segment. In operation, the attribute application generates a spatial reference identifier based on coordinates associated with the attribute. The attribute application then generates an attribute based on the content and the spatial reference identifier. Finally, the attribute application transmits the road segment attribute to a navigation system that performs at least one navigation operation based on a road database and the attribute. Because the attribute is specified based on spatial referencing, the attribute application requires fewer resources to generate attributes than conventional approaches that generate different attributes for different versions and formats of road databases.

Abstract: A method and apparatus for encoding/decoding a video stream using video point cloud coding, the encoding/decoding including obtaining an input point cloud, generating patches based on points of the point cloud, packing the patches into an image, generating the video stream based on the image, and smoothing the image using Morton codes.

Abstract: A device that generates a location estimation model is provided. The location estimation model generator device includes a map generator part configured to generate a magnetic field map, which includes magnetic field values corresponding respectively to the coordinates of an indoor space; a data generator part configured to generate learning data by implementing the magnetic field map; and a learning part configured to generate a location estimation model by artificial neural network (ANN) learning implementing the learning data.

Abstract: Head mounted display systems configured to facilitate the exchange of biometric information between the head mounted display system and another computing device are disclosed. The head mounted display system can comprise a virtual or augmented reality device. After displaying a consent request regarding biometric information with the head mounted display system, a response to the consent request that includes a consent indication regarding an aspect of the biometric information can be determined. After obtaining biometric information from a wearer utilizing e.g., a camera of the head mounted display, and processing the biometric information, a biometric information processing result can be generated. The result can be communicated from the head mounted display system to another computing device.

Abstract: A method for determining driving strategy of a vehicle includes obtaining localization information of the vehicle, a driving route of the vehicle, and a current driving velocity of the vehicle. The method further includes detecting and interpreting a current status of a traffic light. The method further includes recognizing a duration of the current status of the traffic light. The method further includes detecting a relevant stop line. The method further includes obtaining a distance between the stop line and the vehicle. The method further includes determining whether to change the current driving velocity according to the current status of the traffic light, the duration of the current status of the traffic light, the distance between the traffic stop line and the vehicle, and the current driving velocity. A data processing device for determining driving strategy of a vehicle is also provided.

Abstract: A response to a first query related to a geographic area, and search results responsive to a second query related to the geographic area, are received from a server system. A digital map of the geographic is provided via a user interface. A focus is provided to the first query to illustrate the response on the digital map, where the response defines a geographic context. A subset of the search results is identified based on a relationship to the geographic context. The search results in the identified subset are visually emphasized on the digital map relative to the rest of the search results.

Abstract: Systems and methods of detecting marine seismic survey parameters are provided. A data processing system can obtain seismic data from seismic data acquisition units disposed on a seabed responsive to an acoustic signal propagated from an acoustic source through a water column. The data processing system can determine from the seismic data, a direct arrival time for the acoustic signal at each of the plurality of seismic data acquisition units, and can obtain an estimated depth value of each of the plurality of seismic data acquisition units and an estimated water column transit velocity of the acoustic signal. The data processing system can apply a depth model and a water column transit velocity model to the estimated depth value and to the estimated water column transit velocity determine an updated depth value and an updated water column transit velocity for each of the plurality of seismic data acquisition units.

Abstract: Software, databases, computer models, and a series of monitoring devices are provided that are used collectively to optimize farming operations for the purpose of efficiently utilizing the water right associated with the land while recognizing the potential to transfer a proportional amount of the water right in a lease or sale arrangement to other water users. The contemplated system encourages water conservation by allowing those owning water rights to determine the feasibility of changed farming practices intended to maximize net returns and profitability of their overall farming operations.

Abstract: A method and apparatus for identifying features of a subsurface region, including: obtaining an initial physical property model and survey data for the subsurface region; identifying a current model to be the initial physical property model; and executing one or more iterations of: generating synthetic data and forward wavefields with the current model and the survey data by forward modeling with forward wave equations representing isotropic wave-mode-independent attenuation; generating adjoint wavefields with the synthetic data and the survey data by adjoint modeling with adjoint wave equations representing isotropic wave-mode-independent attenuation; computing an objective function gradient with the forward wavefields and the adjoint wavefields by solving gradient equations with the corresponding wave equations representing isotropic wave-mode-independent attenuation; computing a search direction of the objective function; searching for a possible improved model along the search direction; and updating the

Abstract: A method for predicting crop yield of an agricultural field may include steps of applying a pre-season model to provide a pre-season model crop yield prediction, applying an in-season model to provide an in-season model crop yield prediction, applying a statistical imagery model to provide a statistical imagery model crop yield prediction, applying a histogram-based image model to provide a histogram-based image model crop yield prediction, applying crop-specific models to provide at least one crop-specific model crop yield prediction, and combining at a computing system crop yield predictions from a plurality of models within a set comprising the pre-season model, the in-season model, the statistical imagery model, the histogram-based image model, and the crop-specific models, to produce a final crop yield prediction.

Abstract: Aspects of the subject disclosure may include, for example, a method comprising obtaining, by a processing system including a processor, device design information for a device depicted in media content; obtaining a first image for inclusion in a depiction of the device; and obtaining display information regarding an apparent size and orientation of a display of the depicted device. The processing system adjusts the first image in accordance with the device design information and the display information, and inserts the adjusted first image into the media content, thereby generating a second image comprising the display of the depicted device with the adjusted first image shown on the display. The method also includes altering the adjusted first image in accordance with changes in the apparent size or orientation of the display of the depicted device, and delivering the second image to a user device. Other embodiments are disclosed.

Abstract: The present disclosure is related to agricultural devices, system, and methods, particularly for detecting and measuring plant stalks during harvest. The system may comprise a harvesting row unit, with a camera, a processing unit, and an in-cab display. The system may additionally include a stalk alignment guide, a leaf shield, an artificial light source, and/or a lens cleaning apparatus.