Plant provenance and data products from computer object recognition driven tracking

    公开(公告)号:US11244398B2

    公开(公告)日:2022-02-08

    申请号:US15271727

    申请日:2016-09-21

    申请人: iUNU, Inc.

    摘要: This disclosure sets forth systems and techniques that trace plant provenance and determine a likelihood of plant spoilage within a plant growth operation. Particularly, a plant health monitoring system may monitor and record plant growth data of one or more individual plants during a plant life cycle from germination through to harvest. The plant growth data may include data relating to environmental conditions that surround the individual plants, and plant-specific data drawn from time-lapse images captured during the plant life cycle. A plant grower may use the time-lapse image data to identify changes in plant structure that indicate the degree of health of an individual plant, or the encompassing batch of plants. Further, a plant grower may use the plant growth data to generate one or more financial instruments that may be distributed to one or more financial institutions as support for securing capital to fund the plant growth operation.

    VISUAL OBSERVER OF UNMANNED AERIAL VEHICLE FOR MONITORING HORTICULTURAL GROW OPERATIONS

    公开(公告)号:US20190303668A1

    公开(公告)日:2019-10-03

    申请号:US16368749

    申请日:2019-03-28

    申请人: IUNU, INC.

    IPC分类号: G06K9/00 B64C39/02 H04W4/029

    摘要: Disclosed is a technique for providing an Object Recognition Based Horticultural Feedback Analysis (ORB-HFA) feedback loop using an unmanned aircraft system (UAS). The techniques include determining a position of an unmanned aerial vehicle (UAV) of the UAS within a grow operation and providing a mission including one or more operations to the UAV based at least on the position of the UAV and feedback from one or more sensors residing at least partially on a visual observer device of the UAS to direct the UAV to perform the one or more operations in the grow operation, wherein the UAV is configured to capture one or more images of one or more plants included in the grow operation as the UAV performs the one or more operations of the first mission.

    PIPELINED PROCESSING OF PLANT IMAGES FOR MONITORING HORTICULTURAL GROW OPERATIONS

    公开(公告)号:US20190303164A1

    公开(公告)日:2019-10-03

    申请号:US16368722

    申请日:2019-03-28

    申请人: IUNU, INC.

    IPC分类号: G06F9/38 G06F9/48 G06T1/20

    摘要: Disclosed is a technique for providing one or more virtual machines or one or more software containers provided by cloud services to manage a horticultural operation. The techniques include transmitting, from the image dispatcher service, the image data to a first computing instance that executes a first subprocess of an image processing pipeline. Using the first subprocess of the image processing pipeline, partially processed image data is generated from the image data. The partially processed image data resulting from the first subprocess is then transmitted from the first computing instance to a second computing instance that executes a second subprocess of the image processing pipeline. Thereafter, a fully image processed image associated with the image data is produced via at least the second subprocess of the image processing pipeline.

    AUGMENTED REALITY BASED HORTICULTURAL CARE TRACKING

    公开(公告)号:US20190244428A1

    公开(公告)日:2019-08-08

    申请号:US15891110

    申请日:2018-02-07

    申请人: iUNU, Inc.

    IPC分类号: G06T19/00 G06T7/00 G06Q50/02

    摘要: An augmented reality-based horticultural care tracking system to collect information about plants on a per plant or near per plant basis in order to identify issues and generate itineraries that include task lists for remedial courses of actions is disclosed. A network-enabled augmented reality device can be employed by operators of various growing operations in order to overlay digital information such as tasks, images, and related information in a real-time environment. The augmented reality device can communicate with administrative personnel at an operating station and/or intermediate servers in the network in order to send and receive status updates and notifications to properly execute the tasks in the itinerary and evaluate the courses of actions' efficacy.

    Horticulture aided by autonomous systems

    公开(公告)号:US11656624B2

    公开(公告)日:2023-05-23

    申请号:US16830103

    申请日:2020-03-25

    申请人: iUNU, Inc.

    IPC分类号: G05D1/02 G01N33/00 G01W1/02

    摘要: Techniques and examples for servicing a horticultural operation are described. A method may involve autonomously identifying the horticultural operation or a target located within the horticultural operation and an action to be performed with respect to the horticultural operation or target. The operation or target comprises at least one plant or a group of plants. Based on the identifying, a local area of the horticultural field is determined. The target is located within the local area. The target is associated to at least one autonomous vehicle. The target is located within the local area by the at least one autonomous vehicle. The action with respect to the target is performed by the at least one autonomous vehicle.

    ONLINE DATA MARKET FOR AUTOMATED PLANT GROWTH INPUT CURVE SCRIPTS

    公开(公告)号:US20230080326A1

    公开(公告)日:2023-03-16

    申请号:US17989561

    申请日:2022-11-17

    申请人: iUNU, Inc.

    摘要: This disclosure describes techniques that facilitate the sale and exchange of plant growth systems to consumer plant growers. Particularly, a script offering system may act as an intermediary medium that allows merchants to advertise plant growth scripts to consumer plant growers via an electronic marketplace. In some examples, the script offering system may allow merchants to advertise plant growth scripts to consumer plant growers that have expressed an interest or need for a particular plant growth script. In other examples, the script offering system may allow a consumer plant grower to solicit merchant bids for the sale of plant growth script. A consumer plant grower may solicit bids for plant growth scripts that address specific needs identified via key word inputs or sensor data attributable to an existing plant growth operation that exhibits less than optimal plant growth.

    Intelligent track and navigation for sensor carrier

    公开(公告)号:US11370108B2

    公开(公告)日:2022-06-28

    申请号:US16155849

    申请日:2018-10-09

    申请人: iUNU, Inc.

    摘要: Systems and techniques for a sensor carrier, and intelligent track infrastructure for the navigation and operation of the sensor carrier are described. The sensor carrier is an autonomous robot navigating a track. The carrier holds cameras and other sensors to receive horticultural images and telemetry for plants in a grow operation. The carrier reads embedded signals in the track including Radio Frequency Identifier (RFID) tags, embedded positioning magnets, and drilled hole patterns for a beam breaking system to determine navigation and operation. For tracks placed at sharp angles, a transfer station with wall guards to prevent the carrier from falling enable safe transfers from different track segments. Additional features include an emergency stop (e-stop) switch and power management for autonomous sensor carriers.

    Hi-fidelity computer object recognition based horticultural feedback loop

    公开(公告)号:US10339380B2

    公开(公告)日:2019-07-02

    申请号:US15271569

    申请日:2016-09-21

    申请人: iUNU, Inc.

    IPC分类号: G06K9/00 A01G7/00 G06T7/00

    摘要: Infrastructure and methods to implement a feedback loop for a horticultural operation are disclosed. Image capture devices are deployed on a per plant or near per plant basis, and upload images to image analysis server. The image analysis server applies image preprocessing to the uploaded images, and then applies image analysis to identify plants and plant artifacts. Where artifacts indicate an issue with a plant, a course of action to remediate is identified. Static analysis techniques, sequential analysis techniques, and adaptive techniques are some of the techniques enabled and disclosed by the application of object recognition techniques to horticultural applications. Images may be associated with a plant state vector to enable complex comparison operations.