Generating digital models of relative yield of a crop based on nitrate values in the soil

    公开(公告)号:US11551313B2

    公开(公告)日:2023-01-10

    申请号:US16853601

    申请日:2020-04-20

    Abstract: A computer implemented method for generating digital models of relative crop yield based on nitrate values in the soil is provided. In an embodiment, nitrate measurements from soil during a particular portion of a crop's development and corresponding crop yields are received by an agricultural intelligence computing system. Based, at least in part, on the nitrate measurements and corresponding crop yields, the system determines maximum yields for each location of a plurality of locations. The system then converts each crop yield value into a relative crop yield by dividing the crop yield value by the maximum crop yield for the location. Using the relative crop yields and the corresponding nitrate values in the soil, the system generates a digital model of relative crop yield as a function of nitrate in the soil during the particular portion of the crop's development. When the system receives nitrate measurements from soil in a particular field during the particular portion of a crop's development, the system computes a relative yield value for the particular field using the model of relative crop yield.

    DATA STORAGE AND TRANSFER DEVICE FOR AN AGRICULTURAL INTELLIGENCE COMPUTING SYSTEM

    公开(公告)号:US20220012957A1

    公开(公告)日:2022-01-13

    申请号:US17380630

    申请日:2021-07-20

    Abstract: In an embodiment, the disclosed technologies include an apparatus for storing data and communicating data between a vehicle or an agricultural implement and a computing device. Embodiments include a non-conductive housing, an antenna coupled to the non-conductive housing, an integrated circuit coupled to the antenna, a thermally and electrically conductive housing coupled to the integrated circuit, at least one ground clip coupled to the thermally and electrically conductive housing, at least one other integrated circuit coupled to the at least one ground clip, a memory coupled to the other integrated circuit and arranged to at least temporarily store digital communications between a vehicle or an agricultural implement and the computing device, and a connector communicatively coupled to the memory and arranged to mate with a connector of the vehicle or the agricultural implement.

    Subfield moisture model improvement using overland flow modeling with shallow water computations

    公开(公告)号:US11182521B2

    公开(公告)日:2021-11-23

    申请号:US16555267

    申请日:2019-08-29

    Abstract: Subfield moisture model improvement in generating overland flow modeling using shallow water calculations and kinematic wave calculations is disclosed. In an embodiment, a computer-implemented data processing method comprises: receiving precipitation data and infiltration data for an agricultural field; obtaining surface water depth data, surface water velocity data, and surface water discharge data for the same agricultural field; determining subfield geometry data for the agricultural field; executing a plurality of water calculations and wave calculations using the subfield geometry data to generate an overland flow model that includes moisture levels for the agricultural field; based on, at least in part, the overland flow model, generating and causing displaying a visual graphical image of the agricultural field comprising a plurality of color pixels having color values corresponding to the moisture levels determined for the agricultural field. Output of the overland flow model is provided to control computers of seeders, planters, fertilizer spreaders, harvesters, or combines to control seeding, planting, fertilizing or irrigation activities in the field.

    Digital modeling and tracking of agricultural fields for implementing agricultural field trials

    公开(公告)号:US11145007B2

    公开(公告)日:2021-10-12

    申请号:US16108002

    申请日:2018-08-21

    Abstract: A system for implementing a trial in one or more fields is provided. In an embodiment, a system receives field data for a plurality of agricultural fields, identifies one or more target agricultural fields, and 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. When the system receives application data, the system determines whether the one or more target agricultural fields are in compliance with the trial. The system receives result data for the trial and computes a benefit value for the trial.

    COMPUTER-GENERATED ACCURATE YIELD MAP DATA USING EXPERT FILTERS AND SPATIAL OUTLIER DETECTION

    公开(公告)号:US20210271661A1

    公开(公告)日:2021-09-02

    申请号:US17314439

    申请日:2021-05-07

    Inventor: MARIAN FARAH

    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.

    Methods and systems for managing crop harvesting activities

    公开(公告)号:US11080798B2

    公开(公告)日:2021-08-03

    申请号:US14846659

    申请日:2015-09-04

    Abstract: A computer-implemented method for managing crop harvesting activities is implemented by a harvest advisor computing device in communication with a memory. The method includes receiving an initial date of a crop within a field, receiving an initial moisture value associated with the crop and the initial date, and receiving a target harvest moisture value associated with the crop. The method also includes receiving field condition data associated with the field. The method further includes computing, by the harvest advisor, a target harvest date for the crop based at least in part on the initial date, the initial moisture value, the field condition data, and the target harvest moisture value, and displaying the target harvest date for the crop to the grower for harvest planning. The target harvest date indicates a date at which the crop will have a present moisture value approximately equal to the target harvest moisture value.

    SYSTEMS AND METHOD FOR MONITORING, CONTROLLING, AND DISPLAYING FIELD OPERATIONS

    公开(公告)号:US20210212251A1

    公开(公告)日:2021-07-15

    申请号:US17194130

    申请日:2021-03-05

    Abstract: Described herein are systems and method for monitoring and controlling field operations including planting and harvesting operations. In one embodiment, a data processing system of a machine includes a data transfer and processing module that communicates bi-directionally with different types of controllers and sensors mounted on the machine or an implement attached to the machine. The data transfer and processing module is configured to execute instructions to receive signals from these controllers and sensors, process these signals, and generate data for monitoring and controlling field operations of the machine. At least one display device is coupled to the data transfer and processing module. The at least one display device displays the data for monitoring and controlling field operations of the machine or implement to a user or operator.

    USING OPTICAL REMOTE SENSORS AND MACHINE LEARNING MODELS TO PREDICT AGRONOMIC FIELD PROPERTY DATA

    公开(公告)号:US20210209490A1

    公开(公告)日:2021-07-08

    申请号:US17143536

    申请日:2021-01-07

    Abstract: In some embodiments, a computer-implemented method for predicting agronomic field property data for one or more agronomic fields using a trained machine learning model is disclosed. The method comprises receiving, at an agricultural intelligence computer system, agronomic training data; training a machine learning model, at the agricultural intelligence computer system, using the agronomic training data; in response to receiving a request from a client computing device for agronomic field property data for one or more agronomic fields, automatically predicting the agronomic field property data for the one or more agronomic fields using the machine learning model configured to predict agronomic field property data; based on the agronomic field property data, automatically generating a first graphical representation; and causing to display the first graphical representation on the client computing device.

    RADAR BASED PRECIPITATION ESTIMATES USING SPATIOTEMPORAL INTERPOLATION

    公开(公告)号:US20210157029A1

    公开(公告)日:2021-05-27

    申请号:US17119101

    申请日:2020-12-11

    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. Based on the first non-zero radar based precipitation rate value and the second non-zero radar based precipitation rate value, the agricultural intelligence computer system computes a non-zero precipitation accumulation value at a third location and a third time.

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