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公开(公告)号：US11464177B2
公开(公告)日：2022-10-11
申请号：US16708239
申请日：2019-12-09
发明人： Demir Devecigil , Valeriy Kovalskyy
摘要： Techniques for providing improvements in agricultural science by optimizing irrigation treatment placements for testing are provided, including analyzing a plurality of digital images of a field to determine vegetation density changes in a sector of the field. The techniques proceed by comparing a distribution of pixel characteristics in the digital images for each field sector to determine sectors in which minimal density deviations are present. Instructions for irrigation placements and testing may be displayed or modified based on the results of the sector determinations.
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公开(公告)号：US20220058785A1
公开(公告)日：2022-02-24
申请号：US17519396
申请日：2021-11-04
发明人： Michael Strnad , Roger Koch , Dale Koch
IPC分类号： G06T7/00 , G01N33/24 , A01B79/00 , A01C21/00 , G01V3/12 , G01S13/88 , A01B63/111 , A01C7/10 , H04N7/18
摘要： 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.
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公开(公告)号：US11216702B2
公开(公告)日：2022-01-04
申请号：US16928857
申请日：2020-07-14
发明人： Yichuan Gui , Wei Guan
摘要： In some embodiments, a computer-implemented method is disclosed. The method comprises obtaining a first digital model for classifying an image into a class of a first set of classes corresponding to a first plurality of plant diseases, a healthy condition, or a combination of a second plurality of plant diseases; obtaining a second digital model for classifying an image into a class of a second set of classes corresponding to the second plurality of plant diseases; receiving a new image from a user device; applying the first digital model to a plurality of first regions within the new image to obtain a plurality of classifications; applying the second digital model to one or more second regions, each corresponding to a combination of multiple first regions of the plurality of first regions, to obtain one or more classifications, the multiple first regions being classified into the class corresponding to the combination of the second plurality of plant diseases; transmitting classification data related to the plurality of classifications into a class corresponding to one of the first plurality of plant diseases or the healthy condition and the one or more classifications to the user device.
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公开(公告)号：US20210383156A1
公开(公告)日：2021-12-09
申请号：US17409278
申请日：2021-08-23
发明人： Wei Guan , Pramithus Khadka , Jeffrey Gerard
摘要： 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.
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公开(公告)号：US11191219B2
公开(公告)日：2021-12-07
申请号：US16595210
申请日：2019-10-07
发明人： Phil Baurer , Justin Koch , Doug Sauder , Brad Stoller
摘要： Described herein are systems and methods for capturing images of a field and performing agricultural data analysis of the images. In one embodiment, a computer system for monitoring field operations includes a database for storing agricultural image data including images of at least one stage of crop development that are captured with at least one of an apparatus and a remote sensor moving through a field. The computer includes at least one processing unit that is coupled to the database. The at least one processing unit is configured to execute instructions to analyze the captured images, to determine relevant images that indicate a change in at least one condition of the crop development, and to generate a localized view map layer for viewing the field at the at least one stage of crop development based on at least the relevant captured images.
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公开(公告)号：US11182931B2
公开(公告)日：2021-11-23
申请号：US16927920
申请日：2020-07-13
IPC分类号： G06T11/00 , A01B79/00 , G06F16/9537 , G06F16/29
摘要： Methods are provided for generating a prescription map for the application of crop inputs. In one method, the user draws a boundary on a map within a user interface and the system identifies relevant soil data and generates a soil map overlay and legend for changing the application prescription for various soils and soil conditions. In another method, the user instead drives a field boundary which is recorded on a planter monitor using a global positioning receiver, and the system generates a soil map and legend for changing the application prescription.
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公开(公告)号：US20210342955A1
公开(公告)日：2021-11-04
申请号：US17374790
申请日：2021-07-13
发明人： James Ethington , Alex Wimbush
摘要： 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.
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公开(公告)号：US11126886B2
公开(公告)日：2021-09-21
申请号：US16818428
申请日：2020-03-13
发明人： Wei Guan , Pramithus Khadka , Jeffrey Gerard
摘要： 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.
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公开(公告)号：US20210267117A1
公开(公告)日：2021-09-02
申请号：US17181684
申请日：2021-02-22
发明人： Christina Bogdan , Daniel Williams
摘要： 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.
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公开(公告)号：US20210240888A1
公开(公告)日：2021-08-05
申请号：US17235934
申请日：2021-04-20
发明人： Wayne Tai Lee
摘要： 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.
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