AG+Food Systems Development
Integrated BIM (Food Safety Controls and Reporting)

AGPlus : 'DigitalTwin'

ZERO Waste - Ecological Guiding Principles

IoT Object Namespace Development

  • Water, energy, and food are first-class objects
  • Monitoring methods and functions for soil and plant health are alwyays site specific
  • Agricultural facilities and infrastructure dependencies are contained in BIM Ifc model
  • Waste collection methods meant to benefit future use product development classes
  • Master Routerapp.mokunet.us/api/ifcFacility(API cloud routes)

    Edge RoutingprojectID.localhost/api/ifcSite(API routes)

    <script src="https://app.mokunet.us/api/routes"></script>
    <script src="/schema.js"></script>
    

    Field level systems depend on site specific input parameters. As data is collected and processed, hybrid dev-ops provide real-time operational support and analysis, better apt to deal with dynamic and volatile inputs gathered on site and classified with field level specificity.   Value added production forms the middle level of asset classifications that occur in the short supply chain. Mokunet provisioned food facilities forms the last level of classification serving small farm and urban producer roles.

    <reserved>
            

    End Point Token Handler

    <Farm site json data certificate>
            
    <VAP facility json data certificate>
            

    Machine Learning Image Capture (Control Point Process Imaging)

    IoT edge data filtering and prep for delta.time() function

    mokuArray.symbology.imageCapture-window {
        min-height: 400px;
        image-type: svg;
        background: transparent;
    }
    

    Event Stream imageObjects Workflow Schema

    Object queries can be passed using coordinated data attributes. For data attributes, append the option name to data-, as in data-image-src="".

    Note that when specifying these options as html data-attributes, you should convert “camelCased” variable names into “dash-separated” lower-case names (e.g. zIndex would be data-z-index="").

    Object type default description
    imageSrc path null Image captured from field IoT array or GIS app
    naturalWidth number auto You can provide the natural width and natural height of an image to speed up loading and reduce error when determining the correct aspect ratio of the image.
    naturalHeight number auto
    position xPos yPos center center Specify coordinates as top, bottom, right, left, center, or pixel values (e.g. -10px 0px). The GIS layer image will be positioned as close to these values as possible while still covering the target element.
    positionX xPos center
    positionY yPos center
    colorspace RGB hex Image Capture for Tensorflow Model
    resolution pixel 600 Native Image resolution