Invention Grant
- Patent Title: Hi-fidelity computer object recognition based horticultural feedback loop
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Application No.: US15271569Application Date: 2016-09-21
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Publication No.: US10339380B2Publication Date: 2019-07-02
- Inventor: Adam Phillip Takla Greenberg , Matthew Charles King
- Applicant: iUNU, Inc.
- Applicant Address: US WA Seattle
- Assignee: IUNU, Inc.
- Current Assignee: IUNU, Inc.
- Current Assignee Address: US WA Seattle
- Agency: Han Santos, PLLC
- Main IPC: G06K9/00
- IPC: G06K9/00 ; A01G7/00 ; G06T7/00

Abstract:
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.
Public/Granted literature
- US20180082412A1 HI-FIDELITY COMPUTER OBJECT RECOGNITION BASED HORTICULTURAL FEEDBACK LOOP Public/Granted day:2018-03-22
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