Abstract: Systems and methods are provided for managing hybrid seeds for planting. One example computer-implemented method includes receiving a first dataset of hybrid seeds for planting on a target field, where the first dataset includes probability of success values and historical agricultural data for the hybrid seeds, and selecting a subset of hybrid seeds of the first dataset based on the probability of success values. The method also includes generating representative yield values for the subset of hybrid seeds based on the historical agricultural data, generating risk values for the subset of hybrid seeds based on the historical agricultural data, and generating a second dataset of hybrid seeds for planting based on the risk values, the representative yield values, and properties for the target field. The method further includes causing displaying the representative yield values and the risk values related to the second dataset of hybrid seeds for planting.

Abstract: Systems and methods define field regions within agricultural fields. An example computer-implemented method includes identifying a field, retrieving data for the identified field, and displaying a graphical display including the identified field and at least some of the retrieved data. The method also includes receiving, via the graphical display, an input to create a field region within the identified field based on passes of an agricultural apparatus in the identified field and retrieving pass data for the passes of the agricultural apparatus in the field. The method further includes displaying, on the graphical display, the pass data, defining the field region based on the pass data, so that a boundary of the field region corresponds to a start point and an end point of each of the passes of the agricultural apparatus, and displaying, on the graphical display, field performance data constrained to the field region.

Abstract: Systems and methods are provided for monitoring an agricultural implement. An example method includes, as an agricultural implement traverses a field, transmitting command signals to an implement actuator of the agricultural implement, whereby the implement actuator implements operating parameters associated with prescription data for the field. The method also includes receiving, at a monitor device, raw as-applied data from an implement sensor associated with the implement actuator, processing the raw as-applied data into processed as-applied data, and storing the processed as-applied data in a memory. The method further includes rendering a map representing the processed as-applied data, where the rendered map includes one or more application map images indicative of the processed as-applied data over an image of at least part of the field, and then displaying the rendered map.

Abstract: A method includes determining a top of salt (TOS) surface in a seismic volume based on a crossline direction of the seismic volume and an inline direction of the seismic volume. The method also includes determining a binary mask based upon the TOS surface. The method also includes sampling seismic data in the seismic volume to obtain a training seismic slice. The method also includes sampling the binary mask to obtain a mask slice. The method also includes selecting a first coordinate in the training seismic slice to produce a first tile. The method also includes selecting a second coordinate in the mask slice to produce a second tile. The method also includes generating or updating a model of the seismic volume based upon the first tile and the second tile.

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: Examples herein describe systems and methods for aligning elements, such as conduit, ductwork, and plumbing within a computer-aided design (“CAD”) application. A plugin can provide an element alignment option on a graphical user interface (“GUI”) of the CAD program. An anchor point from which to align elements is selected in the GUI so that the plugin can choose locations within a structure to run multiple elements in parallel alignment. The system can recommend an alignment plane based on the slopes of the selected multiple elements and provide a direction for a run of the multiple elements. The systems retrieve the specifications and parameters of each individual element to determine its spacing among the run of multiple elements. The run of multiple elements is displayed and manipulated by the plugin via the GUI.

Abstract: An apparatus includes processor(s) to: receive a request to test goodness-of-fit of a spatial process model; generate a KD tree from observed spatial point dataset including locations within a region at which instances of an event occurred; derive, from the observed spatial point dataset, multiple quadrats into which the region is divided; receive, from multiple processors, current levels of availability of processing resources including quantities of currently available execution threads; select, based on the quantity of currently available execution threads, a subset of the multiple processors to perform multiple iterations of a portion of the test in parallel; provide, to each processor of the subset, the KD tree, the spatial process model, and the multiple quadrats; receive, from each processor of the subset, per-quadrat data portions indicative of results of an iteration; derive a goodness-of-fit statistic from the per-quadrat data portions; and transmit an indication of goodness-of-fit to another device

Abstract: A method is provided to automatically create road and lane geometry from images representing map geometry within a geographical area using object detection. Methods may include: receiving a rasterized image representative of map geometry within a geographic area, where each pixel of the rasterized image includes a property representing at least one component of the map geometry; applying an object detection model to the rasterized image; generating a list of the bounding boxes together with classes of objects within the bounding boxes based on the object detection model; generating map data from the list of bounding boxes and the classes of objects within the bounding boxes; and updating a map in a map database with the map data.

Abstract: The present disclosure is directed to devices and methods for synchronizing capturing of spectral images with the capturing of thermal images. A thermal imaging device of an aerial vehicle captures a sequence of thermal image of thermal images. Capturing of spectral images by a spectral imaging device of the aerial vehicle is synchronized with the capturing of the thermal images. Irradiance data indicative of a background temperature is sensed. A digital surface model of an area of interest is generated based on the sequence of spectral images. An emissivity of a target is estimated and a temperature of a pixel of the digital surface model of the target is estimated based on the sequence of thermal images, the irradiance data indicative of the background temperature and the estimated emissivity of the target.

Abstract: A crop management system including at least one crop monitoring subsystem including at least one crop sensor assembly for sensing at least one crop growth parameter in a predetermined region, at least one field monitoring subsystem including at least one field sensor assembly for sensing at least one field parameter in the predetermined region, an analysis engine receiving an output from at least one of the at least one crop monitoring subsystem and the at least one field monitoring subsystem and being operative to identify at least one anomaly in at least one of the parameters and an anomaly locator operative to provide an output indication of spatial coordinates of at least one location of the at least one anomaly.

Abstract: Systems and methods for processing geographical zones are provided. The method involves operating at least one processor to: define a bounding box surrounding a geographical zone; iteratively partition the bounding box into a plurality of bounding boxes by, starting with the bounding box in the first iteration: determine whether the bounding box contains more than a predetermined maximum number of vertices; divide the bounding box into two additional bounding boxes if the bounding box contains more than the predetermined maximum number of vertices, repeat the steps of determining and dividing the bounding box for the additional bounding boxes in the next iteration until each additional bounding box does not contain more than the predetermined maximum number of vertices; generate a binary tree data structure representing the geographical zone; search the binary tree data structure to determine whether a vehicle is located within one of the bounding boxes.

Abstract: The disclosure herein describes using satellites and ground sinks and/or stations for routing IoT device data packets from IoT devices. A target ground sink in range of the satellite is identified and an expected reception (ER) score for the target ground sink is calculated based on ER parameter data and location data of the satellite. A data packet in a first level of a multi-level data structure of the satellite is sent to the target ground sink and, based on an ER threshold exceeding the ER score, the packet is moved to a second level of the multi-level data structure, whereby the data packet is queued to be sent to another ground sink. The disclosure further includes using cell towers as ground sinks and/or using them for backhauling with other ground sinks. The flexibility of the disclosure enables large ground sink networks to be established, reducing latency of packet routing.

Abstract: The subject matter of this specification can be embodied in, among other things, a method that includes measuring a collection of salinity values representative of a depth within a saline aquifer and a salinity measurement value representative of salinity at the depth, determining, based on the collection of salinity values, a distribution of salinity across a plurality of depths within the saline aquifer, identifying, based on the distribution of salinity, a salinity gradient between a shallow region within the saline aquifer and a deep region within the saline aquifer, where the shallow region has salinity measurement values that are lower than salinity measurement values representative of the deep region, and determining, based on the identified salinity gradient, a sealing competency of the saline aquifer.

Abstract: A method may include receiving, at a server device, a request from a third-party website over an application programming interface (API), the request including a user identification and an item identification; retrieving, at the server device, a set of goal data structures generated for a user profile of a user matching the user identification; matching, at the server device, the item identification to an identification within a goal data structure of the set of goal data structures, the goal data structure including a plurality of steps associated with the goal data structure; generating, at the server device, a response data structure including a status of each step of the plurality of steps associated with the goal data structure; and transmitting the response data structure to the third-party website.

Abstract: A driving control method and apparatus for a vehicle, and a vehicle are provided, and relate to the field of vehicle control. The vehicle includes at least two carriages, and the driving control method includes the following steps: obtaining battery level information of a power battery corresponding to each of the carriages; obtaining at least one of a level allocated to each carriage or a payload allocated to each carriage according to the battery level information of the power battery corresponding to each carriage; and obtaining an output torque of each carriage according to the at least one of the level allocated to each carriage or the payload allocated to each carriage.

Abstract: One or more aerial images of a construct (e.g., a utility construct, a utility asset, a power pole, a telephone pole, etc.) may be used to determine a location of the construct. The images may be used to identify adverse conditions affecting the construct such as wood rot, arc damage, flashing, tracking, floating conductors, loose tie-wires, loose hardware, and/or the like. The images may be used to prioritize actions to address the adverse conditions and identify and/or verify the location of the construct. aggregating the inspection data.

Abstract: The invention relates to a method for performing data analysis for plant phenotyping of single plants in a field and a data acquisition and evaluation system for performing data analysis for plant phenotyping of single plants in a field. Further, the invention relates to a mobile platform for use in the data acquisition and evaluation system. The method comprises the steps of capturing spectral data via a hyperspectral imaging sensor, capturing image data via an image sensor, capturing georeference data via an inertial measurement unit, spatializing the image data to generate georeferenced image data and a digital surface model, spatializing the spectral data, generating georeferenced spectral data based on the spatialized spectral data and the digital surface model and overlaying the georeferenced image data and georeferenced spectral data with field plan information to generate a high-resolution analysis data set.

Abstract: An orthogonal or multi-dimensional fabric interface is described herein to select and present content to a user. A location is determined and time is selected for the user. The multi-dimensional fabric is accessed for content based the determined location and the selected time. If content is stored in the multi-dimensional fabric at the determined location and the selected time, the user is notified of the content, which can then be presented to the user.

Abstract: Systems and methods for improving the training of machine learning models to generate probability distributions of yield values are presented. In an embodiment, a system stores a machine learning system trained to compute parameters for a probability distribution of yield values based on seeding density, seed type, and information specific to a field. The system receives inputs for a particular field and computes parameters for a probability distribution of yield. The system generates a probability distribution of yield using the parameters and uses the probability distribution to generate a yield guarantee value. The system supplies the yield guarantee value to a field manager computing device with a seed type and/or seed density recommendation.

Abstract: Described are various embodiments of a method for managing crop irrigation, and system using same.

Abstract: The present disclosure is directed to devices and methods for synchronizing capturing of spectral images with the capturing of thermal images. A thermal imaging device of an aerial vehicle captures a sequence of thermal image of thermal images. Capturing of spectral images by a spectral imaging device of the aerial vehicle is synchronized with the capturing of the thermal images. Irradiance data indicative of a background temperature is sensed. A digital surface model of an area of interest is generated based on the sequence of spectral images. An emissivity of a target is estimated and a temperature of a pixel of the digital surface model of the target is estimated based on the sequence of thermal images, the irradiance data indicative of the background temperature and the estimated emissivity of the target.

Abstract: A volume measurement apparatus comprises: a point group conversion part converting depth information from a depth sensor into point group data; a raw material heap detection part detecting a point group related to a raw material heap from the point group data, using repose angle information; and a raw material heap volume calculation part that calculates a volume of the raw material heap non-occlusion part based on the point group related to the raw material heap; estimates a volume of the raw material heap occlusion part in the raw material heap, using at least the point group related to the raw material heap; and calculates a volume of the raw material heap, which is a sum of the calculated volume of the raw material heap non-occlusion part and the estimated volume of the raw material heap occlusion part.

Abstract: The ground information about the uneven state of the ground is easily detected. A ground information detection method according to the present invention includes: a point group data acquisition step for acquiring point group data generated as three-dimensional coordinates for each point on the ground with laser light emitted from a three-dimensional scanning device installed at a known point; and a ground information detection step for detecting ground information about an uneven state of the ground using the point group data acquired at the point group data acquisition step.

Abstract: Embodiments of the present disclosure pertain to methods of determining the feasibility of growing one or more crops by evaluating a plurality of risk factors associated with the growing and determining the feasibility of the growing based on the evaluation of the risk factors. In some embodiments, the methods of the present disclosure also include steps of tailoring the risk factors based on the determination of the feasibility of the growing and re-determining the feasibility of the growing by evaluation of the tailored risk factors. Additional embodiments of the present disclosure also include a step of implementing the growing based on the determination of the feasibility of the growing.

Abstract: A computer-implemented method for generating an improved map of field anomalies using digital images and machine learning models is disclosed.

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: Systems and methods and apparatus for placing a plot in an agricultural field. Systems and methods are also provided for selecting a plot location based on primary and secondary parameters, for selecting a plot location based on user-defined parameters, and for allowing a user to accept or reject proposed plot placement.

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: 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: 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: 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: 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: 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 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.