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公开(公告)号：US10192112B2
公开(公告)日：2019-01-29
申请号：US15341883
申请日：2016-11-02
Applicant: Blue River Technology Inc.
Inventor： Lee Kamp Redden , James Patrick Ostrowski , James Willis , Zeb Wheeler
Abstract: Field data is collected of a field. Each instance of field data contains information that can be used to determine a value corresponding to whether or not a plant is present or absent in a particular location and is referred to as a plant presence value. The plant presence values are aggregated using the position data associated with each instance of field data to generate aggregated plant presence values. Gaps between plots are identified based partly on variations in the plant presence values within the aggregated field data. Information known about a field can be used to heuristically identify gaps in a seed line or used to eliminate locations on a seed line that may look like a gap based on low plant presence values. The aggregated plant presence values can be presented as a heat map of plant presence values showing the relative plant density of the field.
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公开(公告)号：US10127450B2
公开(公告)日：2018-11-13
申请号：US15341890
申请日：2016-11-02
Applicant: Blue River Technology Inc.
Inventor： Lee Kamp Redden , James Patrick Ostrowski , James Willis , Zebulon Elias Wheeler
Abstract: Field data is collected of a field. Each instance of field data contains information that can be used to determine a value corresponding to whether or not a plant is present or absent in a particular location and is referred to as a plant presence value. The plant presence values are aggregated using the position data associated with each instance of field data to generate aggregated plant presence values. Gaps between plots are identified based partly on variations in the plant presence values within the aggregated field data. Information known about a field can be used to heuristically identify gaps in a seed line or used to eliminate locations on a seed line that may look like a gap based on low plant presence values. The aggregated plant presence values can be presented as a heat map of plant presence values showing the relative plant density of the field.
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公开(公告)号：US20180121726A1
公开(公告)日：2018-05-03
申请号：US15341890
申请日：2016-11-02
Applicant: Blue River Technology Inc.
Inventor： Lee Kamp Redden , James Patrick Ostrowski , James Willis , Zebulon Elias Wheeler
CPC classification number: G06K9/00657 , A01G7/00 , A01G22/00
Abstract: Field data is collected of a field. Each instance of field data contains information that can be used to determine a value corresponding to whether or not a plant is present or absent in a particular location and is referred to as a plant presence value. The plant presence values are aggregated using the position data associated with each instance of field data to generate aggregated plant presence values. Gaps between plots are identified based partly on variations in the plant presence values within the aggregated field data. Information known about a field can be used to heuristically identify gaps in a seed line or used to eliminate locations on a seed line that may look like a gap based on low plant presence values. The aggregated plant presence values can be presented as a heat map of plant presence values showing the relative plant density of the field.
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公开(公告)号：US20180121725A1
公开(公告)日：2018-05-03
申请号：US15341883
申请日：2016-11-02
Applicant: Blue River Technology Inc.
Inventor： Lee Kamp Redden , James Patrick Ostrowski , James Willis , Zeb Wheeler
CPC classification number: G06K9/00657 , G06T7/11 , G06T7/73 , G06T2207/10004
Abstract: Field data is collected of a field. Each instance of field data contains information that can be used to determine a value corresponding to whether or not a plant is present or absent in a particular location and is referred to as a plant presence value. The plant presence values are aggregated using the position data associated with each instance of field data to generate aggregated plant presence values. Gaps between plots are identified based partly on variations in the plant presence values within the aggregated field data. Information known about a field can be used to heuristically identify gaps in a seed line or used to eliminate locations on a seed line that may look like a gap based on low plant presence values. The aggregated plant presence values can be presented as a heat map of plant presence values showing the relative plant density of the field.
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