WELCOME
Sensor Network Applications in Rural Areas Arun Jose 07331002 CSRE, IIT BOMBAY
INTRODUCTION Issues and problems in rural areas Technology transfer and sustainable development are needed For decision making timely data collection is essential The current level of data collection is not efficient and sufficient Sensor Network Technology helps in obtaining data in real time mode
System architecture
System architecture Standard construction of Wireless Sensor Network in an agricultural ral field (Source: Fukatsu et al.,2004)
Sensor Network Sensors Wireless LAN Camera Web Server Power source
Sensors available 1. Air-Temperature 2. Relative Humidity 3. Solar Radiation 4. Soil Moisture in 3depths(Surface,10 cm & 30cm) 5. Soil Temperature in 3 depths 6. Wind Speed 7. Leaf Wetness 8. Air-Pressure 9. CO 2 Concentration 10. N,P, and K concentration
Wireless LAN A wireless LAN provides a high-speed transmission network for the data collected by the sensors.
Camera
Web server Web server is a software which gives Web information to a client We can access the web server by using web browser such as Internet Explorer
Power Sources
Ubiquitous Networking using Sensor Network Field or Forest Greenhouse house FTTH,ADSL i-space Mountain Amenity farm Fishing spot Organic farm Farmer's market Farm inn Camping site Farmer's restaurant FiledServer Wireless relay communication Hotspot (Source:http://model.job.affrc.go.jp/FieldServer/do cuments/cigr2004paper.pdf)
Commercial Sensors Solar Radiation Sensor Devices inside Body CPU Wireless LAN Card Memory Network Camera Temp. Sensor, Humidity Sensor Ventilation Outlet
Sensors with Solar Panels (Source: http://www.agnet.org/library/pt/2004033/) (Source: http://www.agnet.org/library/pt/2004033/)
Sensor installed at IITB
Agricultural Sensor Network installed in Sula Vineyard (Source http://www.ee.iitb.ac.in/spann www.ee.iitb.ac.in/spann/)
APPLICATIONS OF SENSORS IN RURAL AREA (1) Environmental monitoring (2) Agriculture (3) Food industry (4) MetBroker
1. Environmental monitoring o For weather monitoring o For the optimal use of fertilizers in the field
2. Agriculture 2.1 Precision agriculture 2.2 Green house applications 2.3 Farm machinery automation 2.4 Poultry and animal husbandry applications
2.1 Precision agriculture Doing the right thing, in the right place, in the right way, at right time in agriculture Needs modern technology
Precision Agricultural Cycle (Source:http://www1.agric.gov.ab.ca/$department/deptdocs.nsf/all/sag1 /sag1 951?opendocument)
Application of Sensors in Precision Agriculture Spatial data collection Precision irrigation Precision fertigation and Disease and insect pest management
Spatial data collection soil water availability soil fertility leaf area index leaf temperature leaf chlorophyll content plant water status local climate data insect-disease disease-weed infestation grain yield, etc.
Precision irrigation Water is very scarce To conserve water and to increase the yield Sensors are very useful in irrigation scheduling
Precision Fertigation Fertilizer should be applied at proper time and in proper quantity By using sensors, we can achieve very high application efficiency
Disease and Insect Pest Management Digital camera attached with the sensor will continuously monitor the crop By knowing leaf wetness we can forecast the diseases By using web server we can provide information on pest and disease infestation
2.2 Green house applications To monitor temperature, relative humidity, and CO 2 concentrations inside the green house
2.3 Farm machinery automation Mobile Sensor
3. Food Industry Applications Real time temperature measurement for - thermal sterilization, irradiation, etc Bacterial concentration in food products can also be sensed
4. Application of Field Servers in MetBroker MetBroker - MetBroker is a middleware for weather data that provides agricultural models with consistent access to many different weather databases Sensors can be used as a data input in MetBroker Real time data can be accessed using internet enabled cellular phones
Components of MetBroker (Source:http://www.agmodel.net/projects/metbroker.html) Slide 50
Remote Sensing Data Field Server Data GPS Data Models Geographic Information System Decision Making
Thank You