simpler pages, no id, alerts

Table 2 summarizes the properties that characterize the `s4agri:Deployment` class.

<table id="Table_2" data-docx-preferred-width="9.48cm 6.96cm">

<table data-docx-preferred-width="9.48cm 6.96cm">

  <caption>Table 2: Properties of Deployment</caption>

  <tr>

    <th>

The main features of interest in SAREF4AGRI currently support (aspects of) the livestock farming and smart irrigation use cases and are represented by the `s4agri:Animal`, `s4agri:AnimalGroup`, `s4agri:Crop` and `s4agri:Soil` classes that are shown in Figure 1. 

<figure id="Figure_1">

<figure>

        <img data-docx-width="4.54cm" src="diagrams/FoI.png" alt="Animal, Crop and Soil"/>

        <figcaption>Figure 1: Animal, Crop and Soil</figcaption>

    </figure>

Table 3 and Table 4 summarize the definitions of the main classes and properties described above. 

<table id="Table_3" data-docx-preferred-width="4.24cm 12.74cm">

<table data-docx-preferred-width="4.24cm 12.74cm">

  <caption>Table 3: Animal, Crop and Soil: class definitions</caption>

  <tr>

    <th>

<table id="Table_4" data-docx-preferred-width="6.74cm 10.24cm">

<table data-docx-preferred-width="6.74cm 10.24cm">

  <caption>Table 4: Animal and Crop: property definitions</caption>

  <tr>

    <th>

SAREF4AGRI extends the device hierarchy defined in SAREF in order to include devices needed to support the livestock farming and the smart irrigation use cases. These devices are shown in Figure 2. The devices included for the Smart Irrigation use case are: `s4agri:Pluviometer`, `s4agri:SoilTensiometer`, `s4agri:WeatherStation`, and `s4agri:WateringGun`. The devices included for the Livestock Farming use case are: `s4agri:MovementActivitySensor`, `EatingActivitySensor`, `s4agri:MilkingSensor`, and `s4agri:WeightSensor`.

<figure id="Figure_2">

<figure>

        <img data-docx-width="6.57cm" src="diagrams/Device.png" alt="Device hierarchy"/>

        <figcaption>Figure 2: Device hierarchy</figcaption>

    </figure>

The properties included for the livestock farming use case are: `s4agri:Yield` (which can further be specialized in subclasses, such as MilkYield, CropYield, MeatYield, MilkYield, etc. as needed) and `s4agri:Intake` (which can further be specialized in subclasses, such as FoodIntake for animals, FertilizerIntake for crops, etc. as needed). 

<figure id="Figure_3">

<figure>

        <img data-docx-width="8.16cm" src="diagrams/Property.png" alt="Property hierarchy"/>

        <figcaption>Figure 3: Property hierarchy</figcaption>

    </figure>

Table 5 summarizes the definitions of the classes described above.

<table id="Table_5" data-docx-preferred-width="4.24cm 12.74cm">

<table data-docx-preferred-width="4.24cm 12.74cm">

  <caption>Table 5: Intake and Yield: class definitions</caption>

  <tr>

    <th>

SAREF4AGRI adopts the same topology modelling pattern that is adopted in the SAREF4CITY extension [i.3], where existing standard ontologies have been reused for this purpose. As shown in Figure 4, for representing spatial objects in SAREF4AGRI, the `geo:SpatialObject` class from GeoSPARQL has been reused along with its subclasses `geo:Feature`, `geo:Geometry` and the properties `geo:sfContains`, `geo:sfWithin` and `geo:hasGeometry`.

<figure id="Figure_4">

<figure>

        <img data-docx-width="6.94cm" src="diagrams/Topology.png" alt="Topology model"/>

        <figcaption>Figure 4: Topology model</figcaption>

    </figure>

The SAREF4AGRI extension reuses the FOAF vocabulary ([http://xmlns.com/foaf/0.1/](http://xmlns.com/foaf/0.1/)) to represent the concepts of Person and Organization. Figure 5 shows that in SAREF4AGRI the `foaf:Person` and `foaf:Organization` classes are extended with the `s4agri:Farmer` and `s4agri:FarmHolding` subclasses to describe farmers and their organizations, respectively. Both `foaf:Person` and `foaf:Organization` are subclass of `foaf:Agent`. Organizations (e.g. `s4agri:FarmHolding)`have members (e.g. farmers). Both `s4agri:Farmer` and `s4agri:FarmHolding` can manage some `s4agri:Farm`. 

<figure id="Figure_5">

<figure>

        <img data-docx-width="9.05cm" src="diagrams/Person.png" alt="Person and Organization model"/>

        <figcaption>Figure 5: Person and Organization model</figcaption>

    </figure>

<figure id="Figure_6">

<figure>

        <img data-docx-width="25.20cm" src="diagrams/image7.png" alt="Farm example"/>

        <figcaption>Figure 6: Farm example</figcaption>

    </figure>

<figure id="Figure_7">

<figure>

        <img data-docx-width="25.20cm" src="diagrams/image8.png" alt="Cow, milking sensor and measurement example"/>

        <figcaption>Figure 7: Cow, milking sensor and measurement example</figcaption>

    </figure>

<figure id="Figure_8">

<figure>

        <img data-docx-width="21.51cm" src="diagrams/image9.png" alt="Cow, eating activity sensor and measurement example"/>

        <figcaption>Figure 8: Cow, eating activity sensor and measurement example</figcaption>

    </figure>

<figure id="Figure_9">

<figure>

        <img data-docx-width="25.20cm" src="diagrams/image10.png" alt="Smart Irrigation example"/>

        <figcaption>Figure 9: Smart Irrigation example</figcaption>

    </figure>