u-Agri
uAgri is an initiative to apply
Information and Communication Technology (ICT) to the Agricultural
sector to automate weather data acquisition from fields thereby
facilitating Decision Support Advisories. The weather data
thus gathered may
pertain to the
fundamental pisions in
the agricultural sector
namely Soil Management, Irrigation Management and Pest
Management.
The core architecture of uAgri employs an emerging technology namely
Wireless Sensor Networks (WSN). WSN integrates sensing, computation,
and radio transmission into a standalone unit which is called a
'mote'. These motes are spatially deployed in the field and
networked through domain specific network protocols.
Sensing being a domain specific entity in WSN, may be revised according
to the requirements of the target application.
Therefore, it is
possible to sense
different parameters at
user defined periodicities. Sensors
required by the application may be integrated with the system on a need
basis, thereby facilitating spatial availability of sensor
information.
The focus of the project is Pest Management. uAgri aims at studying
the conducive weather conditions for the growth of pests. Weather data
is acquired by deploying a WSN in target fields. Presently the project
focuses on growing crops namely groundnut and castor and targeting
pests and diseases like groundnut leaf miner and groundnut leaf spot
respectively. The sensors which will be handy for this research are
Temperature, Relative Humidity, Rainfall, Wind Speed, Soil Moisture
& Temperature, Leaf Wetness and Solar Radiation.
Decision Support Advisories
are developed as part
of the architecture
which can advise the
possible infestation of the pests and diseases being targeted.
Currently, disease models namely Leaf Wetness Index and
TemperatureRelative Humidity Index based advisories have been
developed for groundnut leaf spot. Growing Degree Day (GDD)
calculations are also done for groundnut leaf miner.
The acrchitecture of uAgri is as shown
in the figure. There are three sub components in the system which are
depicted as Farm Site, Gateway Subsystem and Remote Administration
System. The Farm Site houses the WSN motes and connected to the sensors
which are required. The motes internetwork among themselves and relay
their data to the Gateway Subsystem which is also present on the field.
The Gateway Subsytem is responsible for calibrating the sensor data
from the Farm Site motes into their engineering units before storing
them onto a local database. A seperate process on the Gateway Subsystem
retrieves the locally stored WSN data and stores it onto the Remote
Administraton System database over an active internet connection. The
Remote Administration System implements mechanisms to view, analyze and
plot the data. Required Decision Support Systems are also available on
the Remote Administration System.
Remote Administration System Web
Shots:
The uAgri component is an initiative of the Department of Information Technology (DIT) and is being implemented by the Centre for Development of Advanced Computing (CDAC), Hyderabad with the domain expertise of the Central Research Institute for Dryland Agriculture CRIDA), Hyderabad.



