SERVICE SCENARIO USING THE CONNECTED FARM
Our service scenario can be described as follows:
1) All IoT devices including sensors and controllers have
to be connected with the &Cube, and then the &Cube could
register them into the Mobius through the REST APIs.
2) A farm knowledge base (like IBM Watson) will be
able to be built, which aims at providing farm knowledge on
behalf of experts (i.e., experienced farmers) by sharing the
optimal growth conditions for diverse crops and plants. Thus,
the knowledge base will provide rich guidance for farmers to
control their connected farm effectively and efficiently.
3) After all IoT devices are successfully registered into the
Mobius, farmers can remotely monitor and control the IoT
devices to make their connected farm appropriate for their
crops and plants. For example, if the soil moisture sensor
uploads a particular value less than a threshold suggested by
the knowledge base, farmer receives an alert message, and
triggers the irrigation system immediately.
4) Farmers can create their own connected farm control
policy, which will automate the monitoring and control procedure
we described above.
5) Finally, farmers can share their knowledge and experience
for growing their crops and plants to make the farm
knowledge base smarter.
The service scenario described above demonstrates the advantages
of our connected farm-based smart farming systems.
The connected farm allows end users not only to remotely
monitor and control the physical devices deployed via mobile
applications, but also to share their knowledge and experience
on farming, and finally build a farm knowledge expert system
that enables farmers with little experience to start a farm.