Abstract: A method and system for identifying formation porosity and formation lithology. The method may include disposing a PNL tool into a borehole that is disposed in a formation, emitting a neutron from a neutron source on the PNL tool into the formation, and capturing one or more gammas expelled from formation in response to the neutron from the neutron source to form a plurality of pulsed neutron logging (PNL) measurements in a log. The method may further include identifying a formation porosity and a formation lithology with an artificial neural network that at least partially incorporates the PNL measurements.

Abstract: An isotopic identification method is provide that makes it possible, where appropriate, to link a livestock animal or animal product to a specific farm, or a plant or a plant product to a farm, by analyzing the concentration of ratios or stable isotopes, and comparing with isotopic codes previously generated in a unique fashion for a set of frames. A method is also provided that makes it possible to impose a unique code on the animals of a farm or on the plants of a farm, and a computer making it possible to store the unique codes generated in memory is provided to generate unique codes for new farms and to perform comparisons.

Abstract: A system and method for automated forest inventory mapping. The method may include receiving an image depicting an overhead view of a wooded area, the image comprising a plurality of pixels; receiving a set of climate data for a geographic region in which the wooded area is located; receiving a point cloud of a digital surface model of the wooded area; concatenating data corresponding to the plurality of pixels of the image, the set of climate data, and the point cloud into a feature vector; executing a machine learning model using the feature vector to generate timber data for each of the plurality of pixels of the image; and generating an interactive overlay from the timber data, the interactive overlay comprising the generated timber data for each of the plurality of pixels of the image.

Abstract: An agricultural autonomous vehicle is provided which is operable to traverse a field and perform one or more detection tasks.

Abstract: A system and method for assessing categorized pixels of satellite images associated with agriculture land parcel using an artificial intelligence (AI) model are provided.

Abstract: Agriculture is impacted due to various parameters that results into heavy losses to the crops. Existing methods rely on manual inventories from fields and statistical results are prone to errors thus classification of crops may not be accurate. Present disclosure provides systems and methods for detection and prediction of disguised and potential non-performing assets (NPAs) in agriculture. Disguised NPAs detection involves, obtaining satellite data from sources and natural calamity, detecting of crop for past years, crop growth, estimating yields, market prices for individual years, AC zones, etc. wherein a generate performance score is generated for each field for classifying crop as disguised NPA.

Abstract: The present disclosure discloses a method for estimating a contribution rate of elastic energy of a top plate during instability catastrophe of a deep gas-containing coal body, which specifically includes the following steps: acquiring gas pressure of a coal seam; acquiring a thickness of the coal seam and the top plate according to a borehole histogram; coring in the field, processing and pre-processing coal samples, and acquiring an elastic modulus of the top plate, gas-containing coal and standard specimens of a gas-containing coal-rock combination through indoor mechanical tests, respectively; deducing contribution of the elastic energy of the top plate with the help of a graphic area for a stress-strain curve, and obtaining a quantitative expression of the contribution rate of the elastic energy of the top plate based on the elastic modulus and the thickness of the top plate and the gas-containing coal.

Abstract: The disclosed systems and methods for intelligent heterogeneous computation directed to receiving monitoring data and a set of training data, wherein the monitoring data includes an occupancy rate of a preprocessed data queue and a utilization factor of accelerating devices, generating a resource computation job list in accordance with the monitoring data, forwarding jobs, in the resource computation job list to be executed on a central processing unit (CPU), to a CPU worker queue, forwarding control messages to the CPU worker queue, wherein the control messages are associated with jobs in the resource computation job list to be executed on the accelerating devices, and executing, by the accelerating devices, jobs in the resource computation job list to be executed on the accelerating devices.

Abstract: A system and methods for presenting an ailment from a modified nourishment scheme, the system comprising a computing device configured to identify a nutrition requirement for a user, receive, from a monitoring device, a monitoring element, generate a modified nutrition requirement as a function of the monitoring element, and identify an ailment that fulfills the modified nutrition requirement wherein identifying the ailment comprises determining a nourishment value corresponding to the modified nutrition requirement, creating a distance metric from the nourishment value to each ailment of a plurality of ailments, and selecting at least an ailment as a function of a minimal distance metric calculation.

Abstract: The coastal ecosystem carbon pool estimation method of the invention belongs to the field of environmental assessment, and includes the following steps: (a) determining the spatial boundary of the coastal ecosystem; (b) determining the dominant plant classification area of the coastal ecosystem; (c) calculating the carbon source of the freshwater plant dominant area; (d) size setting of carbon source sampling point in coastal ecosystem; (e) sampling method of carbon source sampling point in coastal ecosystem; (f) carbon source estimation method in coastal ecosystem.

Abstract: An intrinsically-safe sensor system, as well as a method for assembling the intrinsically-safe sensor system and a method for monitoring sound corresponding to a source using the intrinsically-safe sensor system, are provided herein. The intrinsically-safe sensor system includes a number of sensors, including a microphone, as well as a processor for processing sensor data obtained from the sensors. The intrinsically-safe sensor system also includes a memory component for storing the sensor data obtained from the sensors, a power source, a communication connection for communicably coupling the intrinsically-safe sensor system to a remote computing system, and a connector including internal and external connection regions for internally and/or externally connecting one or more additional devices to the intrinsically-safe sensor system on demand.

Abstract: A system and method for controlled-source electromagnetic exploration is based on staggered frequency excitation of crossed sources. Different high-order pseudo-random signals are transmitted using two sources, respectively, each set of high-order pseudo-random signals may contain sufficient frequencies within a same complete frequency range, exploration frequencies of the two sets of signals are completely staggered, simultaneous transmission by the two field sources is implemented, and different polarization modes do not affect each other and are separated from each other. Moreover, different measuring line directions at a receiving terminal can be observed simultaneously, and each measuring point has two polarization directions, thus greatly improving the exploration efficiency and the data volume.

Abstract: The present invention relates to a method for determining a location of hydrocarbon reservoirs using a mechanical properties model of a subsurface geological area. The method comprises the steps of: creating a plurality of presumed seismic sections at the time of deposition based on a seismic interpretation of the subsurface geological area and influences of tectonic time data and tectonic pressure data; creating a mechanical properties model of the subsurface geological area based on the plurality of presumed seismic sections at the time of deposition and the influences of tectonic time data and tectonic pressure data.

Abstract: A computer-implemented method for generating a 3D geological model of a subsurface volume of a geographic site. The method includes processing, based on a machine-learning-based model, borehole data of a plurality of boreholes at the geographic site and trusted geological data associated with the geographic site, so as to generate a plurality of geological cross-sections of the subsurface volume of the geographic site. The borehole data includes data related to subsurface soil and/or rock information along at least part of each of the plurality of boreholes. The trusted geological data includes data related to prior stratigraphic information associated with the geographic site. Each of the geological cross-sections contains respective stratigraphic information. The method also includes forming the 3D geological model based on the generated geological cross-sections for display.

Abstract: An automated computer-controlled sampling system and related methods for collecting, processing, and analyzing agricultural samples for various chemical properties such as plant available nutrients. The sampling system allows multiple samples to be processed and analyzed for different analytes or chemical properties in a simultaneous concurrent or semi-concurrent manner. Advantageously, the system can process soil samples in the “as collected” condition without drying or grinding. The system generally includes a sample preparation sub-system which receives soil samples collected by a probe collection sub-system and produces a slurry (i.e. mixture of soil, vegetation, and/or manure and water), and a chemical analysis sub-system which processes the prepared slurry samples for quantifying multiple analytes and/or chemical properties of the sample. The sample preparation and chemical analysis sub-systems can be used to analyze soil, vegetation, and/or manure samples.

Abstract: The present disclosure provides a system and method for object verification. The method comprises obtaining sensor data, from one or more sensors, the sensor data including measurements of one or more physical properties of a given three-dimensional (3D) object, wherein the sensor data comprises a first measurement of the one or more physical properties from a first perspective and a second measurement of the one or more physical properties from a second perspective, the second perspective being different from the first perspective. The method further comprises comparing the sensor data with reference data, the reference data including measurements of one or more corresponding physical properties of a reference 3D object, and generating, based on the comparing, a verification signal indicating a determined match between the given 3D object and the reference 3D object.

Abstract: A method and system for evaluating and predicting a set of crop-associated features at an agriculture site, the method comprising: receiving a set of samples associated with the agriculture site; generating a sample dataset upon processing the set of samples with a set of sample processing operations; generating a set of microbiome-associated features upon performing a set of transformation operations upon the sample dataset; and returning an analysis characterizing the set of crop-associated features based upon the set of microbiome-associated features. The method can further include steps for executing an action for producing a desired outcome in relation to the agriculture site, with respect to a specific soil type and a specific crop, based upon the analysis.

Abstract: A communication system uses skywave propagation to transmit data between communication nodes over a data transmission path. An atmospheric sensor is configured to collect atmospheric data at the reflection point of the data transmission path where the transmission path is redirected from the atmosphere toward the surface of the Earth. Data collected by the atmospheric sensor may be used to predict future ionospheric conditions and determine optimum working frequencies for transmission of data between the communication nodes.

Abstract: Plant health estimation is required to be performed so as to detect any health issues in early stages, so as to take counter measures. Existing systems for the plant health estimation perform the health estimation by considering data obtained from satellite images of the plants being monitored. However this alone may not be much effective as the satellite images fail to provide information on many parameters which have direct or indirect impact on health of the plants. Disclosed herein are a method and a system for plant health estimation, wherein the system performs health estimation at a macro level and a micro level. The macro level health estimation is done using satellite images of the plants as inputs, whereas the micro level health estimation is done by collecting and processing sensor data with respect to various parameters that affect health of a plant.

Abstract: A method for mapping distribution of chemical compounds in soil is described herein including inserting a probe into the soil at multiple locations, obtaining spectroscopic data regarding the soil, sampling a core of soil adjacent to the probe locations, dividing the core into multiple depth increments, analyzing the core samples, matching each core sample with a corresponding depth increment of the probe insertions, obtaining data from the probe insertions, dividing the probe insertion data into training, validation, and test categories, resampling spectral variables from the probe insertion data to a wavelength interval longer than a native wavelength interval of an associated spectrometer, normalizing the probe insertion data on a spectrum by spectrum basis, utilizing a machine learning normalization algorithm, standardizing the spectral variables to a common scale by removing a mean and scaling to unit variance, and choosing a model utilizing the test set.

Abstract: Tools for fire monitoring are presented. One method includes an operation for accessing values of features for monitoring a fire in a region. The features include satellite images at a first resolution, vegetation information, and weather data. Further, each satellite image includes first cells associated with the geographical region and the first resolution defines a first size of each first cell. The method further includes generating a map of the geographical region comprising a plurality of second cells having a second size, which is smaller than the first size. Additionally, the method includes operations for estimating, using a machine-learning model, probability values for the second cells in the map based on the features, each probability value indicating if the second cell contains an active fire, and for updating the map based on the probability values for the second cells. The map is presented in a user interface.

Abstract: There is provided a method and apparatus for accelerated in-situ prediction and dynamic visualization of characteristics of a porous medium, including an input source for inputting data from computer-aided simulations and real-time core flooding experiments, an embedded hardware unit comprising of a processor running a prediction model with inferences of porous medium samples, and a human-machine interface comprising a display unit for displaying the estimated plurality of characteristics of the porous medium and an input unit for accepting commands from a user. The input source is in real-time communication with the embedded hardware unit and the display unit and the apparatus reduces a total analysis time taken for characterizing the porous medium. Further, the porous medium is a rock sample and the plurality of properties of the porous medium comprises the relative permeability (Kr) and capillary pressure (Pc) characteristics of the porous medium.

Abstract: A prediction method for changes of physical parameters after earthquakes includes: obtaining a precipitable water vapor after an earthquake in a target monitoring area during a historical period; verifying the accuracy of the precipitable water vapor collected in the historical period; obtaining thermal anomaly data of the land surface temperature after the earthquake in the target monitoring area during the historical period; determining a time difference between peak of the precipitable water vapor and peak of the thermal anomaly of the land surface temperature; when the earthquake occurs again in the target monitoring area, detecting a time point corresponding to the peak of the thermal anomaly of the land surface temperature in the target monitoring area, adding the time point to the time difference to obtain a predicted time point of the peak of precipitable water vapor, and outputting the predicted time point as a time point of secondary disaster.

Abstract: A method for creating a field development plan, comprising initializing, by a specially programmed computing system, a connectivity model, calibrating, by a specially programmed computing system, the connectivity model based on a plurality of reservoir simulation results, determining, by a specially programmed computing system, a travel time between wells and reservoir cells using a fast marching method, determining, by the specially programmed computing system, a hydrocarbon saturation based on the travel time to construct a model prediction, optimizing, by the specially programmed computing system, the connectivity model using a global optimization and a local optimization, and constructing, by the specially programmed computing system, at least one well file using the optimized connectivity model.

Abstract: In one aspect, a system for determining soil clod size or soil surface residue coverage of a field may include an agricultural implement configured to perform a non-soil-working operation on the field as the agricultural implement is towed across the field. Furthermore, the system may include a non-contact-based sensor installed on the agricultural implement, with the non-contact-based sensor configured to capture data indicative of at least one of a soil clod size of the field or a soil surface residue coverage of the field. Additionally, a controller of the disclosed system may be configured to receive data from the non-contact-based sensor as the agricultural implement is moved across the field. Moreover, the controller may be configured to determine at least one of the soil clod size of the field or the soil surface residue coverage of the field based on the received data.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for using direction-angles to identify geologic features and geologic attributes for use in geothermal, oil and gas, mining, and other applications. An example embodiment operates by receiving a discrete three-dimensional (3D) representation of a geologic volume comprising a set of 3D orientations, where each 3D orientation is represented as a set of direction-angles measured relative to a set of coordinate axes. The example embodiment further operates by receiving a set of other measurements of properties of the geologic volume. In response, the example embodiment operates by correlating the set of 3D orientations with the set of other measurements to generate a geologic correlation data structure.

Abstract: The present disclosure provides a leak monitoring system and associated method which is being configured to detect plumes of volatile organic compounds (VOC) as an alternative solution to the EPA Method 21, which measures VOC concentrations at the surface of each component. The leak monitoring system is a multi-layered system that includes monitoring performed by sensors that are fixed in place and sensors that are mobile. Each monitoring method is a layer and it complements and augments other layers. All the sensors wirelessly communicate with a central control through a gateway. The control unit further includes a software platform, which analyzes the data provided by the sensors in combination with other informetrics such as meteorological conditions and plant info to both identify the presence of a gas leak and to pinpoint a general location of the gas leak.

Abstract: Methods, systems, and apparatus for training a machine-learned model using satellite imagery and physical river gauge data as ground-truth information. Methods include receiving, from a user in a graphical user interface presented on a user device, a depth request for depth information at a geolocation. At least two satellite images are received, including the geolocation where a difference in respective capture times of each of the satellite images is within a threshold. The satellite images for the geolocation are provided to a machine-learned river gauge model. The machine-learned river gauge model determines depth information for the geolocation utilizing the satellite images, and provides, to the user in the graphical user interface, the depth information at the geolocation.

Abstract: The present invention provides a computerized system for mapping an orchard, and a method for producing precise map and database with high resolution and accuracy of all trees in an orchard.

Abstract: In an approach for identifying a crop using satellite observation data and crop rotation data, a processor receives an aerial image of one or more agricultural fields in a pre-determined geographical region from an optical satellite. A processor selects a plurality of points from the aerial image. A processor clips the aerial image into one or more smaller images to generate one or more observed signatures. A processor determines there is a change in a spatial distribution of one or more crops. A processor generates an actual signature from the one or more observed signatures. A processor cross-correlates the actual signature against a plurality of historical reference signatures to determine a degree of similarity. A processor ranks one or more results of the cross-correlation. A processor identifies the one or more crops. A processor calculates a first estimate of an amount of the one or more crops.

Abstract: A method for training a backpropagation-enabled segmentation process is used for identifying an occurrence of a sub-surface feature. A multi-dimensional seismic data set with an input dimension of at least two is inputted into a backpropagation-enabled process. A prediction of the occurrence of the subsurface feature has a prediction dimension of at least 1 and is at least 1 dimension less than the input dimension.

Abstract: In accordance with some embodiments, systems, methods, and media for processing and representing multivariate sensor information gathered from multiple sources are provided. In some embodiments, the method comprises: receiving a data sequences from respective sources; identifying a shortest data sequence that corresponds to a first interval; calculating, for pairs of data sequences, a similarity value over the first interval; forming a first segment of a representative data sequence that is a weighted combination of the data sequences over the first interval based on similarity values associated with the data sequences; truncating at least a subset of data sequences to exclude elements corresponding to the first interval; identifying a shortest data sequence corresponding to a second interval; forming a second segment of the representative data sequence based on similarity values associated with the data sequences; and concatenating the first segment and the second segment of the representative data sequence.

Abstract: A liquefaction evaluation model generation device includes a data acquisition unit configured to acquire training data in which learning vibration data indicating a physical quantity associated with vibrations observed in the ground is defined as a question and learning liquefaction data indicating the degree of liquefaction occurring in the ground where the vibrations associated with the learning vibration data have been observed is defined as an answer, and a machine learning execution unit configured to execute machine learning using the training data and generate a liquefaction evaluation model that is a machine learning model.

Abstract: A surveying apparatus comprising a controller (CPU), the controller (CPU) being configured to: receive an image stream representing a video sequence; determine a camera pose for a second image in the image stream relative a first image in the image stream; match the first image with the second image, based on the cam-era pose; and generate a three dimensional model based on the image match.

Abstract: Disclosed herein are various devices, systems, and methods for use in agricultural, particularly for use in harvesting agricultural crop such as corn. Various implementations relate to methods and devices for measuring plant stalk cross-sectional area during harvest and providing additional methods of predicting and displaying yield on a row-by-row level in real time.

Abstract: A device may receive a master data set for a first spectroscopic model; receive a target data set for a target population associated with the first spectroscopic model to update the first spectroscopic model; generate a training data set that includes the master data set and first data from the target data set; generate a validation data set that includes second data from the target data set and not the master data set; generate, using cross-validation and using the training data set and the validation data set, a second spectroscopic model that is an update of the first spectroscopic model; and provide the second spectroscopic model.

Abstract: Disclosed are methods, systems, and computer-readable medium to perform operations including: receiving seismic data acquired by at least one receiver of a geologic survey system configured to perform a geologic survey of a subterranean formation, wherein the seismic data is associated with reflected acoustic signals generated by at least one source of the geologic survey system; calculating a ground force signal by stacking the acoustic signals generated by the least one source; calculating, using the ground force signal, a time and depth variant quality factor (Q) of the subterranean formation; and compensating, based on the time and depth variant Q, attenuation in the seismic data.

Abstract: A prediction method for coal and gas outburst based on comparing borehole gas flow curves includes the following steps: constructing a seam-crossing borehole in the coal seam, measuring or calculating gas flow corresponding to critical gas pressure P, which is a reference gas flow Q(t)reference; performing linear regression on the reference gas flow Q(t)reference to form a reference flow curve; constructing a predicted seam-crossing borehole in a predicted area, and directly testing a gas flow at each time t in a delayed manner, which is a predicted gas flow Q(t)prediction; performing linear regression on the predicted gas flow Q(t)prediction to form a predicted flow curve; and judging whether the predicted flow curve is above the reference flow curve or whether the predicted flow curve intersects with the reference flow curve, and judging whether the coal seam in the predicted area has a risk of coal and gas outburst.

Abstract: A system and method for predicting, forecasting and suggesting voyage plans for a vessel by considering design parameters, weather in sailing routes and a user's preference for best weather or best economy or fastest way to reach the destination. Voyage plans are optimized using the above parameters, and directions are continuously provided in the form of heading and speeds to be maintained by the vessel during the course of the voyage.

Abstract: A method may include obtaining geological data and seismic data regarding a geological region of interest, wherein the geological data includes grain size data. The method may further include determining a first set of sedimentary pathways using the grain size data. The method may further include determining a topographical surface for the geological region of interest using the seismic data or/and well data. The method may further include determining, by the computer processor, a second set of sedimentary pathways using the topographical surface. The method may further include generating various output sedimentary pathways based on a combination of the first set of sedimentary pathways and the second set of sedimentary pathways.

Abstract: A communication application may include a request-response mechanism, which may enable real-time interaction between multiple users executing multiple tasks at multiple locations. Using the communication application, a first user may generate a digital ticket for the tasks, which may be shared with a second user. A response associated with the digital ticket by the second user may occur in a particular structured format within the communication application. The response may include location information of the second user and status of machines executing the tasks. The communication application may bring every user action and response data associated with the tasks into one unique digital board associated with the communication application. The digital board may create and implement a collaborative network and successfully orchestrate value-exchanging interactions among the users in the data sharing ecosystem.

Abstract: There is provided a system for customized application of herbicides, comprising: a processor(s) executing a code for: feeding test images corresponding to a target agricultural field into a machine learning model trained on a training dataset of sample images of sample agricultural field(s) labelled with ground truth of weed parameters, selecting specific weed parameter(s) of according to performance metric(s) of the model, setting up instructions for triggering application of a first herbicide to a portion of the target agricultural field in response to an outcome of the model indicating likelihood of the specific weed parameter(s) being depicted in an input image of the portion of the target agricultural field, and setting up instructions for triggering application of a second herbicide to the portion of the target agricultural field in response to the outcome of the model indicating non-likelihood of the specific weed parameter(s) being depicted in the input image.

Abstract: A water supply simulation method for interlaced system of river and canal system based on groundwater model, includes: S1. constructing simulated water conveyance channel based on first data, and performing attribute definition on water conveyance channels; S2. acquiring initial seepage, evaporation and discharge; S3. performing reverse water demand calculation; S4. performing sequential water supply simulation; S5. acquiring corresponding water head, obtaining current seepage, evaporation, discharge, head-end water demand and water consumption demand of each water conveyance channel based on water head; S6. judging whether current iteration is converged according to water head, if yes, proceeding to S7, otherwise returning to S3 after update; S7. judging whether there is next time period, if yes, returning to S3 after update, otherwise proceeding to S8; and S8. judging whether there is a next stress period, if yes, returning to S3 after update, otherwise outputting the result obtained in S5, and ending.

Abstract: The invention relates to the field of soil analysis, in particular the technical analysis of agricultural or horticultural soils. In particular, the invention relates to a sensor device for in situ soil analysis, to a method for in situ soil analysis, and to a device set up for carrying out the soil analysis method, wherein said device, together and in interaction with one or more of said sensor devices, represents a system for in situ soil analysis. The sensor device has a sensor assembly comprising one or more sensors which are configured individually or cumulatively for the simultaneous in situ measurement of at least two of the following soil properties of a soil to be analyzed and for providing corresponding respective measurement data: (a) impedance spectrum, (b) temperature, (c) absorption spectrum NIR-VIS-UV in a spectral range from NIR (near infrared spectral range) to UV (ultraviolet spectral range), and (d) acidic or basic character, in particular pH value.

Abstract: In an embodiment, an agricultural intelligence computing system stores a digital model of crop growth, the digital model of crop growth being configured to compute nutrient requirements in soil to produce particular yield values based, at least in part, on data unique to an agricultural field. The system receives agronomic field data for a particular agronomic field, the agronomic field data comprising one or more input parameters for each of a plurality of locations on the agronomic field, nutrient application values for each of the plurality of locations, and measured yield values for each of the plurality of locations. The system computes, for each location of the plurality of locations, a required nutrient value indicating a required amount of nutrient to produce the measured yield values. The system identifies a subset of the plurality of locations where the computed required nutrient value is greater than the nutrient application value.

Abstract: A three-dimensional map generation system generates three-dimensional map information using measured data acquired by a measuring vehicle which moves within a measurement area. A generation unit regards a data lacking area which is acquired from the measurement area based on first measured data transmitted from the measuring vehicle and which lacks measured data for generating a three-dimensional map, as a defective area, and generates interpolation data for interpolating three-dimensional map information of the defective area.

Abstract: A process for drilling a well into a subsurface formation includes receiving data representing depth maps for a given subsurface region, each depth map being generated from seismic data acquired in a seismic survey at a subsurface region. The process includes determining, for depth maps of the plurality, respective weight values; generating data representing a combination of the depth maps based on the respective weight values; generating a cumulative distribution function (CDF) for a particular location in the subsurface region based on the data representing a combination of the depth maps; determining, based on the CDF for that particular location, a probability value representing a depth at which a geological layer occurs in the subsurface region at the particular location; and drilling the well into the subsurface formation at the particular location to a target depth based on the probability value.

Abstract: A system for implementing a trial in one or more fields is provided. In an embodiment, a agricultural intelligence computing system receives field data for a plurality of agricultural fields. Based, at least in part, on the field data for the plurality of agricultural fields, the agricultural intelligence computing system identifies one or more target agricultural fields. The agricultural intelligence computing system sends, to a field manager computing device associated with the one or more target agricultural fields, a trial participation request. The server receives data indicating acceptance of the trial participation request from the field manager computing device. The server determines one or more locations on the one or more target agricultural fields for implementing a trial and sends data identifying the one or more locations to the field manager computing device.

Abstract: A method of predicting crop yield includes generating, via a processor, a plurality of vectors representative of growing conditions for a current time period and a plurality of vectors representative of growing conditions for a previous time period. The processor compares the plurality of vectors for the current time to the vectors of the previous time periods for corresponding growing conditions and determines which previous vectors are closest to the current vectors. The plurality of previous time periods are each associated with crop yields. Thus, the processor can determine a crop yield for the current time period for a selected crop producing field and crop type based on crop yields for the closest previous time periods.

Abstract: The invention relates to an isotopic identification method making it possible, where appropriate, to link a livestock animal or animal product to a specific farm, or a plant or a plant product to a farm, by analyzing the concentration of ratios or stable isotopes, and comparing with isotopic codes previously generated in a unique fashion for a set of frames. The invention also relates to a method which makes it possible to impose a unique code on the animals of a farm or on the plants of a farm, a computer making it possible to store the unique codes generated in memory, to generate unique codes for new farms and to perform comparisons.