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公开(公告)号：US20150027044A1
公开(公告)日：2015-01-29
申请号：US14444919
申请日：2014-07-28
Applicant: Blue River Technology, Inc.
Inventor： Lee Redden
CPC classification number: A01G22/00 , A01M21/04 , A01M21/043 , A01M21/046
Abstract: A plant treatment method including, by a computing system: identifying a plant, in situ, within a geographic area; identifying an interleaf insertion point relative to leaves of the plant; positioning a treatment mechanism at the insertion point; and operating a treatment mechanism to apply a fluid treatment to a plant.
Abstract translation: 一种植物处理方法，包括通过计算系统：在地理区域内原位识别植物; 识别相对于植物叶片的插入插入点; 在插入点处定位治疗机构; 以及操作处理机构以对植物施加流体处理。
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公开(公告)号：US20130238201A1
公开(公告)日：2013-09-12
申请号：US13788359
申请日：2013-03-07
Applicant: BLUE RIVER TECHNOLOGY, INC.
Inventor： Lee Kamp Redden
CPC classification number: A01B41/06 , A01D75/00 , A01G7/00 , A01M21/00 , G06K9/00657 , G06K9/2036 , G06K9/3241 , G06K2209/17 , G06T7/11 , G06T7/66 , G06T7/73 , G06T2207/20164 , G06T2207/30128 , G06T2207/30188 , G06T2207/30252
Abstract: A method of real-time plant selection and removal from a plant field including capturing a first image of a first section of the plant field, segmenting the first image into regions indicative of individual plants within the first section, selecting the optimal plants for retention from the first image based on the first image and the previously thinned plant field sections, sending instructions to the plant removal mechanism for removal of the plants corresponding to the unselected regions of the first image from the second section before the machine passes the unselected regions, and repeating the aforementioned steps for a second section of the plant field adjacent the first section in the direction of machine travel.
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公开(公告)号：US20250008940A1
公开(公告)日：2025-01-09
申请号：US18889681
申请日：2024-09-19
Applicant: Blue River Technology Inc.
Inventor： Kent Michael Anderson , Benjamin Ray Chostner
Abstract: Historical information is accessed that describes a previous state of a field, previous environmental conditions for the field, and previous farming machine actions performed in the field. A tank management model is applied to the historical information to determine expected weed densities within field portions and an amount of treatment fluid required to treat plants within the field. While the farming machine is treating plants in the field, current information describing a current state of the field is accessed. The tank management model is applied to the current information to determine updated weed densities within field portions not yet treated. The farming machine performs a modified plant treatment action based on the updated weed densities and a comparison of a remaining amount of treatment fluid within a tank of the farming machine and an updated amount of treatment fluid for treating plants within field portions not yet treated.
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公开(公告)号：US20240394807A1
公开(公告)日：2024-11-28
申请号：US18767627
申请日：2024-07-09
Applicant: Blue River Technology Inc.
Inventor： Matthew Stephen Colgan , Charles McCauley Ross
Abstract: A farming machine is configured to identify and treat plants in a field. The farming machine includes one or more light sensors for measuring a characteristic of light. The one or more light sensors are coupled to the farming machine and are directed a substantially upwards orientation away from the plants. A control system adjusts settings of an image acquisition system based on a characteristic of light measured by the one or more light sensors. The image acquisition system captures an image of a plant using one or more image sensors coupled to the farming machine, the one or more image sensors directed in a substantially downwards orientation towards the plants. The control system identifies a plant in the image and actuates a treatment mechanism to treat the identified plant.
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公开(公告)号：US12118746B2
公开(公告)日：2024-10-15
申请号：US17483762
申请日：2021-09-23
Applicant: Blue River Technology Inc.
Inventor： Tyler Calvin Niday , Ugur Oezdemir
Abstract: A system and a method are disclosed for calibrating an image acquisition system of a farming machine. The farming machine captures images of objects in an environment as the farming machine moves through an environment. Based on the captured images, a represented three-dimensional (3D) model of the environment representing the objects in a three-dimensional space is generated. From the represented 3D model, a represented location of an object (e.g., building, lamppost, tree) is determined. The represented location of the object is compared to a reference location of the object and the comparison is used to calibrate the image acquisition system by modifying positions, orientations, or optical settings of one or more cameras in the image acquisition system.
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Patent Agency Ranking
公开(公告)号：US12082541B2
公开(公告)日：2024-09-10
申请号：US18354369
申请日：2023-07-18
Applicant: Blue River Technology Inc.
Inventor： Lee Kamp Redden , Matthew Colgan
CPC classification number: A01G7/00 , A01C21/007 , A01G7/06 , G01B11/24 , G01N33/0098 , G06V10/751 , G06V20/68
Abstract: A system for plant parameter detection, including: a plant morphology sensor having a first field of view and configured to record a morphology measurement of a plant portion and an ambient environment adjacent the plant, a plant physiology sensor having a second field of view and configured to record a plant physiology parameter measurement of a plant portion and an ambient environment adjacent the plant, wherein the second field of view overlaps with the first field of view; a support statically coupling the plant morphology sensor to the physiology sensor, and a computing system configured to: identify a plant set of pixels within the physiology measurement based on the morphology measurement; determine physiology values for each pixel of the plant set of pixels; and extract a growth parameter based on the physiology values.
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公开(公告)号：US11991947B2
公开(公告)日：2024-05-28
申请号：US18317596
申请日：2023-05-15
Applicant: Blue River Technology Inc.
Inventor： Thomas W. Brown , Eric M. Gawehn , Kent Anderson
CPC classification number: A01C23/047 , A01C23/008 , B05B1/04 , B05B7/0093 , B05B7/2486 , B05B12/122 , B05B13/005
Abstract: A treatment system for spraying treatment fluid onto plants in a field is described. The treatment system includes a highly configurable treatment mechanism including an array of nozzles and valve assemblies coupled into manifolds, and manifold assemblies. The manifolds of the manifold assemblies can be oriented in an open state or a nested state, the open state with no overlap between nozzles of adjacent manifolds and the nested state with overlap between nozzles of adjacent manifolds. The manifolds can have multiple configurations, examples of which include a tube manifold and an offset manifold. The nozzles of the system can have multiple configurations, examples of which include a tri-spray nozzle, a bar nozzle, a fan nozzle, and a deflected fan nozzle. The system can be controlled by a system controller which detects plant material and instructs a nozzle or combination of nozzles to spray treatment fluid.
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公开(公告)号：US11983934B2
公开(公告)日：2024-05-14
申请号：US17562919
申请日：2021-12-27
Applicant: Blue River Technology Inc.
Inventor： Rahul Agrawal , Rajesh Radhakrishnan , Brent William West
Abstract: A control system of a farming machine is configured to identify obstruction in a field from image data of the field. The control system accesses an obstruction model configured to identify obstructions in a field from image data of the field. The obstruction model is generated by accessing image data of obstructions in a training field, each obstruction corresponding to a prescribed action occurring at a prescribed time, labelling the image data of the obstructions, and training the obstruction model based on the labelled image data. The control system captures image data of the field including an obstruction and inputs the image data into the obstruction model. Responsive to identifying the obstruction in the field, the control system modifies treatment instructions of the farming machine such that the farming machine performs a implements a farming objective while avoiding the obstruction in the field.
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公开(公告)号：US11972551B2
公开(公告)日：2024-04-30
申请号：US17126800
申请日：2020-12-18
Applicant: Blue River Technology Inc.
Inventor： Divya Sharma , Michael Albert Elcano , Byron Gajun Ho , Jeremy Douglas Krantz , Tyler Niday , Robert Joseph Plumeau
IPC: G06T7/00 , A01B3/26 , A01B79/00 , G06F18/214 , G06F18/24 , G06K7/10 , G06K19/07 , G06N20/00 , G06T7/593 , H04N13/204
CPC classification number: G06T7/0004 , A01B3/26 , A01B79/005 , G06F18/214 , G06F18/24 , G06K7/10366 , G06K19/0723 , G06N20/00 , G06T7/593 , H04N13/204 , G06T2207/20081 , G06T2207/30164 , G06T2207/30204
Abstract: A detection system detects malfunctions in an autonomous farming vehicle during an autonomous routine using one or more models and data from sensors coupled to the autonomous farming vehicle. The models may include machine-learned models trained on the sensor data and configured to identify objects indicative of an operational or malfunctioning component within a tilling assembly such as a tilling shank or sweep. Additionally, a machine-learned model may be trained on sensor data to detect whether debris has plugged the tilling assembly of the autonomous farming vehicle. In response to detecting a malfunction or a plug, the detection system may modify the autonomous routine (e.g., pausing operation) or provide information for the malfunction to be addressed (e.g., the likely location of a malfunctioning sweep that has detached from the tilling assembly).
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公开(公告)号：US11926333B2
公开(公告)日：2024-03-12
申请号：US17564063
申请日：2021-12-28
Applicant: Blue River Technology Inc.
Inventor： John William Peake , James Patrick Ostrowski , Erik Ehn , Kent Michael Anderson , Benjamin Ray Chostner
IPC: B60W50/035 , B60W50/02 , G06T7/00 , G07C5/08
CPC classification number: B60W50/035 , B60W50/0205 , G06T7/0004 , G07C5/085 , B60W2300/15 , B60W2420/42 , G06T2207/30164
Abstract: As a farming machine travels through a field of plants, the farming machine operates in a normal operational state to perform one or more farming operations. The farming machine detects an operational failure of a component of the farming machine using measurements obtained from one or more sensors coupled to and monitoring the farming machine. The operational failure of the component impacts performance of a first farming operation of the farming operations. The farming machine configures the farming machine to operate in a remedial operational state. In the remedial operational state, the farming machine diagnoses the operational failure of the component using the obtained measurements. In the remedial operational state, the farming machine selects a solution operation to address the operational failure of the component based on the diagnosis. The farming machine performs the determined solution operation.
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