Patents Assigned to THE CLIMATE CORPORATION
  • Patent number: 10331931
    Abstract: A method and system for modeling trends in crop yields is provided. In an embodiment, the method comprises receiving, over a computer network, electronic digital data comprising yield data representing crop yields harvested from a plurality of agricultural fields and at a plurality of time points; in response to receiving input specifying a request to generate one or more particular yield data: determining one or more factors that impact yields of crops that were harvested from the plurality of agricultural fields; decomposing the yield data into decomposed yield data that identifies one or more data dependencies according to the one or more factors; generating, based on the decomposed yield data, the one or more particular yield data; generating forecasted yield data or reconstructing the yield data by incorporating the one or more particular yield data into the yield data.
    Type: Grant
    Filed: February 5, 2016
    Date of Patent: June 25, 2019
    Assignee: The Climate Corporation
    Inventors: Sivan Aldor-Noiman, Erik Andrejko
  • Patent number: 10303677
    Abstract: A method and system for decontaminating raw yield maps by combining filters with spatial outlier detectors is provided. In an embodiment, the method comprises receiving over a computer network electronic digital data comprising first yield data representing crop yields harvested from an agricultural field; applying one or more filters to the first yield data to identify, from the first yield data, first outlier data; generating first filtered data from the first yield data by removing the first outlier data from the first yield data; identifying, in the first filtered data, second outlier data representing outlier values based on one or more outlier characteristics; generating second outlier data from the first filtered data by removing the second outlier data from the first filtered data; generating and causing displaying on a mobile computing device a graphical representation of the crop yields harvested from the agricultural field using only the second outlier data.
    Type: Grant
    Filed: October 14, 2015
    Date of Patent: May 28, 2019
    Assignee: The Climate Corporation
    Inventor: Marian Farah
  • Patent number: 10275550
    Abstract: In an embodiment, agricultural intelligence computer system stores a digital model of nutrient content in soil which includes a plurality of values and expressions that define transformations of or relationships between the values and produce estimates of nutrient content values in soil. The agricultural intelligence computer receives nutrient content measurement values for a particular field at a particular time. The agricultural intelligence computer system uses the digital model of nutrient content to compute a nutrient content value for the particular field at the particular time. The agricultural intelligence computer system identifies a modeling uncertainty corresponding to the computed nutrient content value and a measurement uncertainty corresponding to the received measurement values. Based on the identified uncertainties, the modeled nutrient content value, and the received measurement values, the agricultural intelligence computer system computes an assimilated nutrient content value.
    Type: Grant
    Filed: April 27, 2016
    Date of Patent: April 30, 2019
    Assignee: The Climate Corporation
    Inventor: Wayne Tai Lee
  • Patent number: 10267951
    Abstract: In an approach, a method for fusing point data with areal averages is performed by a computing system. The fusion procedure is coherent, in the sense that the computing system takes into account what the areal averages represent with respect to the point data. The overarching goal is to fit a model that takes into account the information derived from both data sets. The areal averages provide an estimate for what the integral of a model representing the behavior of the environmental variable should be over a particular district and the point values indicate the estimated value at particular locations. Thus, the integral of the fitted model over a district of the grid should approximate the value provided by the areal averages while also approximating the value provided by the point data for locations which are provided by the point data.
    Type: Grant
    Filed: May 12, 2016
    Date of Patent: April 23, 2019
    Assignee: The Climate Corporation
    Inventors: Ricardo T. Lemos, Stephan Hoyer
  • Patent number: 10262413
    Abstract: A soil imaging system having a work layer sensor disposed on an agricultural implement to generate an electromagnetic field through a soil area of interest as the agricultural implement traverses a field. A monitor in communication with the work layer sensor is adapted to generate a work layer image of the soil layer of interest based on the generated electromagnetic field. The work layer sensor may also generate a reference image by generating an electromagnetic field through undisturbed soil. The monitor may compare at least one characteristic of the reference image with at least one characteristic of the work layer image to generate a characterized image of the work layer of interest. The monitor may display operator feedback and may effect operational control of the agricultural implement based on the characterized image.
    Type: Grant
    Filed: May 6, 2016
    Date of Patent: April 16, 2019
    Assignee: THE CLIMATE CORPORATION
    Inventors: Michael Strnad, Roger Koch, Dale Koch
  • Patent number: 10251347
    Abstract: A method for generating digital models of potential crop yield based on planting date, relative maturity, and actual production history is provided. In an embodiment, data representing historical planting dates, relative maturity values, and crop yield is received by an agricultural intelligence computer system. Based on the historical data, the system generates spatial and temporal maps of planting dates, relative maturity, and actual production history. Using the maps, the system creates a model of potential yield that is dependent on planting date and relative maturity. The system may then receive actual production history data for a particular field. Using the received actual production history data, a particular planting date, and a particular relative maturity value, the agricultural intelligence computer system computes a potential yield for a particular field.
    Type: Grant
    Filed: January 7, 2016
    Date of Patent: April 9, 2019
    Assignee: The Climate Corporation
    Inventors: Ying Xu, Erik Andrejko
  • Patent number: 10238028
    Abstract: In an embodiment, a method comprises determining, in received yield data, one or more passes, each pass including a plurality of observations. For each pass of the one or more passes, one or more discrete derivatives are determined, and based on the one or more discrete derivatives first outlier data is generated. First filtered data is generated by removing the first outlier data from the yield data. Furthermore, for each observation in the yield data, a plurality of nearest neighbor observations is determined, and used to determine a plurality of absolute differences in yield values. Based on the plurality of absolute differences, second outlier data is determined. Second filtered data is generated by removing the second outlier data from the first filtered data. Using a presentation layer of a computer system, a graphical representation of the second filtered data is generated and displayed on the computing system.
    Type: Grant
    Filed: August 11, 2016
    Date of Patent: March 26, 2019
    Assignee: The Climate Corporation
    Inventors: Yiqun Li, Jeffrey Gerard
  • Patent number: 10219431
    Abstract: Systems, methods and apparatus for monitoring soil properties and applying fertilizer during a planting operation. Various sensors are disposed in ground engaging components for monitoring soil properties. The ground engaging components may have structure for opening a side trench in the sidewalls of the seed trench and may include liquid application conduits for injecting liquid into the sidewalls of the resulting side trenches.
    Type: Grant
    Filed: August 8, 2017
    Date of Patent: March 5, 2019
    Assignee: The Climate Corporation
    Inventors: Jason Stoller, Justin Koch, Brian McMahon, Derek Sauder, Ian Radtke, Michael Strnad, Dale Koch, Matthew Morgan, Tracy Leman, Paul Wildermuth
  • Patent number: 10212744
    Abstract: A protective connector includes a core assembly structure, mating pins and a mating coupling structure. The core assembly structure has circuitry mounted therein. The mating coupling structure substantially encases the core assembly structure and mates with another connector such that the mating pins of the protective connector are electrically coupled to pins of the other connector. The mating coupling structure is mechanically free-moving with respect to the core assembly structure such that forces applied to the mating coupling structure to mate the protective connector to the other connector are not applied to the circuitry within the core assembly structure.
    Type: Grant
    Filed: March 27, 2017
    Date of Patent: February 19, 2019
    Assignee: The Climate Corporation
    Inventors: Christopher Sears Mikelson, Chad Plattner
  • Patent number: 10175387
    Abstract: In an approach, a computer receives an observation dataset that identifies one or more ground truth values of an environmental variable at one or more times and a reforecast dataset that identifies one or more predicted values of the environmental variable produced by a forecast model that correspond to the one or more times. The computer then trains a climatology on the observation dataset to generate an observed climatology and trains the climatology on the reforecast dataset to generate a forecast climatology. The computer identifies observed anomalies by subtracting the observed climatology from the observation dataset and forecast anomalies by subtracting the forecast climatology from the reforecast dataset. The computer then models the observed anomalies as a function of the forecast anomalies, resulting in a calibration function, which the computer can then use to calibrate new forecasts received from the forecast model.
    Type: Grant
    Filed: March 10, 2016
    Date of Patent: January 8, 2019
    Assignee: The Climate Corporation
    Inventors: Alex Kleeman, Holly Dail
  • Patent number: 10154624
    Abstract: In an approach, hyperspectral and/or multispectral remote sensing images are automatically analyzed by a nitrogen analysis subsystem to estimate the value of nitrogen variables of crops or other plant life located within the images. For example, the nitrogen analysis subsystem may contain a data collector module, a function generator module, and a nitrogen estimator module. The data collector module prepares training data which is used by the function generator module to train a mapping function. The mapping function is then used by the nitrogen estimator module to estimate the values of nitrogen variables for a new remote sensing image that is not included in the training set. The values may then be reported and/or used to determine an optimal amount of fertilizer to add to a field of crops to promote plant growth.
    Type: Grant
    Filed: August 8, 2016
    Date of Patent: December 18, 2018
    Assignee: The Climate Corporation
    Inventors: Wei Guan, Ying Xu
  • Patent number: 10140546
    Abstract: A system for detecting clouds and cloud shadows is described. In one approach, clouds and cloud shadows within a remote sensing image are detected through a three step process. In the first stage a high-precision low-recall classifier is used to identify cloud seed pixels within the image. In the second stage, a low-precision high-recall classifier is used to identify potential cloud pixels within the image. Additionally, in the second stage, the cloud seed pixels are grown into the potential cloud pixels to identify clusters of pixels which have a high likelihood of representing clouds. In the third stage, a geometric technique is used to determine pixels which likely represent shadows cast by the clouds identified in the second stage. The clouds identified in the second stage and the shadows identified in the third stage are then exported as a cloud mask and shadow mask of the remote sensing image.
    Type: Grant
    Filed: August 1, 2017
    Date of Patent: November 27, 2018
    Assignee: The Climate Corporation
    Inventors: Wei Guan, Pramithus Khadka, Jeffrey Gerard
  • Patent number: 10107939
    Abstract: A system and method for improving radar based precipitation estimates using spatiotemporal interpolation is provided. In an embodiment, an agricultural intelligence computer system receives a plurality of radar based precipitation rate values representing precipitation rate measurements at a plurality of locations and a plurality of times. The agricultural intelligence computer system identifies a first non-zero radar based precipitation rate value associated with a first location of the plurality of locations and a first time of the plurality of times. The agricultural intelligence computer also identifies a second non-zero radar based precipitation rate value associated with a second location of the plurality of locations and a second time of the plurality of times. The agricultural intelligence computer system determines that the first non-zero radar based precipitation rate value corresponds to the second non-zero radar based precipitation rate value.
    Type: Grant
    Filed: May 20, 2016
    Date of Patent: October 23, 2018
    Assignee: The Climate Corporation
    Inventors: Francisco Alvarez, Valliappa Lakshmanan
  • Patent number: 10109024
    Abstract: A method begins by a drive unit affiliated with farm equipment receiving data from the farm equipment to produce agricultural data. The method continues with the drive unit determining a filtering constraint based on one or more parameters selected from a plurality of lists of agricultural parameters and filtering the agricultural data based on the filtering constraint to produce filtered agricultural data. The method continues with the drive unit determining processing of the filtered agricultural data and executing the processing of the filtered agricultural data.
    Type: Grant
    Filed: June 15, 2015
    Date of Patent: October 23, 2018
    Assignee: The Climate Corporation
    Inventors: Brad B. Bakke, Craig Eugene Rupp, A. Corbett S. Kull, Austin Brock Atchison
  • Patent number: 10096073
    Abstract: Some embodiments include a method. The method can include mapping a spatial pattern of yield for a crop of an agricultural field and prescribing spatially-variable application rates of one or more nutrients for the agricultural field. Other embodiments of related methods and systems are also disclosed.
    Type: Grant
    Filed: February 19, 2016
    Date of Patent: October 9, 2018
    Assignee: The Climate Corporation
    Inventor: David P. Groeneveld
  • Patent number: 10043239
    Abstract: Systems and methods for generation of images of a particular type from images of a different type are disclosed. In an embodiment, an agricultural intelligence computer system receives a first plurality of images of a first type and a second plurality of images of a second type. The first and second types may refer to variances in resolution, frequency ranges of frequency bands, and/or types of frequency bands used to generate the images. Based on the first plurality of images and the second plurality of images, the agricultural intelligence computer system generates a feature set dictionary comprising mappings from features of the first plurality of images to features of the second plurality of images. When the agricultural intelligence computer system receives a particular image of the first type, the agricultural intelligence computer system uses the received image and the feature set dictionary to generate an image of the second type.
    Type: Grant
    Filed: November 21, 2016
    Date of Patent: August 7, 2018
    Assignee: The Climate Corporation
    Inventor: Gardar Johannesson
  • Patent number: 10028451
    Abstract: In an embodiment, computer processes are programmed to determine planting plans based on planting characteristics data received for an agricultural field and a plurality of management zone delineation options defined for the agricultural field. Each of the planting plans specifies different planting recommendations for the agricultural field. A first graphical representation of the planting plans, and an interactive object is generated and displayed on a computing device. The interactive object is configured to receive input specifying a relative importance ratio between the planting plans for determining a new planting plan for the agricultural field. A particular relative importance ratio is received via the interactive object, and is used to determine the new planting plan, which specifies new planting recommendations for the agricultural field. Information about the new planting plan is displayed on the computer device.
    Type: Grant
    Filed: February 8, 2017
    Date of Patent: July 24, 2018
    Assignee: The Climate Corporation
    Inventors: Emily Rowan, Tracey Ewart, Stephen Crampton, Alex Wimbush
  • Patent number: 10025983
    Abstract: A system for identifying ponding water located on a field from image data is described. In an approach, an image of an agricultural field is analyzed using a classifier that has been trained based on the spectral bands of labeled image pixels to identify a probability for each pixel within the image that the pixel corresponds to water. A flow simulation is performed to determine regions of the field that are likely to pool water after rainfall based on precipitation data, elevation data, and soil property data of the field. A graph of vertices representing the pixels and edges representing connections between neighboring pixels is generated. The probability of each pixel within the graph being ponding water is set based on the probability pixel being water, the likelihood that water will pool in the area represented by the pixel, the probability of neighboring pixels being ponding water, and a cropland mask that identifies which pixels correspond to cropland.
    Type: Grant
    Filed: September 21, 2015
    Date of Patent: July 17, 2018
    Assignee: The Climate Corporation
    Inventors: Wei Guan, Pramithus Khadka
  • Publication number: 20180168094
    Abstract: Systems, methods and apparatus are provided for monitoring soil properties including soil moisture, soil electrical conductivity and soil temperature during an agricultural input application. Embodiments include a soil reflectivity sensor and/or a soil temperature sensor mounted to a seed firmer for measuring moisture and temperature in a planting trench. A thermopile for measuring temperature via infrared radiation is described herein. In one example, the thermopile is disposed in a body and senses infrared radiation through an infrared transparent window. Aspects of any of the disclosed embodiments may be implemented in or communicate with an agricultural intelligence computer system as described herein.
    Type: Application
    Filed: December 15, 2017
    Publication date: June 21, 2018
    Applicant: THE CLIMATE CORPORATION
    Inventors: Dale Koch, MICHAEL Strnad, Matthew Morgan, Brian McMahon
  • Publication number: 20180144413
    Abstract: A method begins by a computing device allocating a plurality of tasks of an agricultural prescription for a farming geographic area to a fleet of farming equipment. While executing tasks of the plurality of tasks, the method continues with at least some of the fleet of farming equipment collecting task execution data. Based on the task execution data, the method continues with the computing device updating at least one of the agricultural prescription, the plurality of tasks, and the allocation of at least one task of the plurality of tasks.
    Type: Application
    Filed: January 19, 2018
    Publication date: May 24, 2018
    Applicant: The Climate Corporation
    Inventors: Craig Eugene Rupp, A. Corbett S. Kull, Christopher Sears Mikelson, Patrick Lee Dumstorff