Database Reference
In-Depth Information
Phenonet and present our experience in implementing Phenonet on OpenIoT
architecture. This paper makes the following contributions:
- A detailed description of a digital agriculture usecase namely Phenonet (enabling
high resolution precision agriculture driven by IoT) currently being trialled at
CSIRO Australia
- An ontology developed to semantically annotate phenonet sensor data streams
- An architectural description of a middleware for internet of things namely
Open Internet of Things (OpenIoT)
- Outcomes of Phenonet usecase implementation on OpenIoT platform
2 Phenonet Usecase
Phenonet describes the network of wireless sensor nodes (IoT devices) collecting
information over a field of experimental crops. The term Phenomics describes
the study of how the genetic makeup of an organism determines its appearance,
function, growth and performance. Plant phenomics is a cross-disciplinary app-
roach, studying the connection from cell to leaf to whole plant and from crop
to canopy
1
. The goal of the Phenonet is to provide scientists and farmers with
a platform for high resolution crop analysis in real world growing conditions.
Analysing the size, growth and performance of plants in a greenhouse or field
site can be time-consuming and laborious. More specifically, when a field site is
located in a remote area, it becomes quite expensive to send people out to the
field. The ability to collect this information from remote locations and send it
back to the laboratory in real time is an invaluable tool for plant scientists and
farmers. Figure
1
presents a sample Phenonet in-field deployment.
The Phenonet system is currently supported by a proprietary software devel-
oped at CSIRO that provides a RESTful interface for data upload and analysis.
Based on the in-field deployments, the Phenonet system follows a data model
that best captures the needs of scientists and biologist performing experiments.
Fig. 1.
Sample phenonet deployment
Search WWH ::
Custom Search