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In-Depth Information
4.2 Scenario Description
A sample experiment, Kirkegaard and Danish was chosen to demonstrate Phe-
nonet on OpenIoT middleware system. This experiment evaluates the effect of
sheep grazing on crop re-growth by looking at root activity, water use, crop
growth rate and crop yield. In this experiment soil moisture sensors namely
GBHeavy (hardware name of the sensor) have been installed at multiple depths
from 10 cm to 2 m below the soil surface. This enables the end-user to track
the extraction of water from the soil by the roots throughout the crop growing
season. This information can then be used to obtain an indirect measurement
of root activity. Such an experiment also encourages dual-purpose cropping sys-
tems i.e. enriching live stock growth by allowing them to feed on healthy crops
and control crop growth to increase yield and reduce fertiliser and water usage.
4.3 Phenonet Ontology
The Phenonet ontology is one of the key contributions of this paper and is
presented in Fig.
5
. The Phenonet ontology describes the structure of a Phenonet
experiment and links the experiment to the sensors that gather data. Crops with
a specific
genotype
are sown into
plots
, the crops are then subjected to a specific
treatment
(e.g. irrigation). The processes and regions described by the Phenonet
ontology use the DOLCE Ultra-Light upper ontology
2
. The sensors themselves
Fig. 5.
Phenonet ontology
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