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International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-
6367(Print), ISSN 0976 – 6375(Online) Volume 4, Issue 1, January- February (2013), © IAEME
430
EXPLORING NOVEL METHOD OF USING ICT FOR RURAL
AGRICULTURE DEVELOPMENT
Faimida M. Sayyad#
#
Abdul Razzak Kalsekar Polytechnic ,Panvel-410206 , Maharashra-India.
*JJT University, Jhunjhunu, India
ABSTRACT
Agro sensing has been around for some time but as of date has not given the desired
results as far as increase in crop production and proper utilization and management of
resources is concerned. Through this paper, an attempt has been made to formulate an
architecture aimed at converging existing and future technologies which include the domains
of sensing, telecommunications and agro related governance, education and research sectors.
Standards have been introduced for the various communications between the
elements. Telecom architecture and standards have not been changed in any manner. New
data collection, analysis and application elements have been introduced so as to provide a
common platform for all sectors to get all necessary information in a proper manner. The aim
is to extract all necessary data from the different geological factors, formulate informative
images, collect and analyse the same to facilitate for an innovative upheaval in the way
agriculture is planned and executed.
Keywords: ICT, Rural, Development, Strategy, Analysis of use of ICT.
I. INTRODUCTION
The relationships between human society and also the land are more and more
reworked as a result of dramatic changes within the course of the twentieth century, notably
by increasing industry, the mechanization of agriculture, immediacy in world trade and
communication. National, regional and international views on agriculture should examine
these and different factors so as to supply the most effective attainable basis for allocating
resources, establishing rules, making policy, creating choices and at last work with helpful
system. A lot of folks are getting responsive to the results on soil that years of farming and
INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING
& TECHNOLOGY (IJCET)
ISSN 0976 – 6367(Print)
ISSN 0976 – 6375(Online)
Volume 4, Issue 1, January- February (2013), pp. 430-437
© IAEME:www.iaeme.com/ijcet.asp
Journal Impact Factor (2012): 3.9580 (Calculated by GISI)
www.jifactor.com
IJCET
© I A E M E
International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-
6367(Print), ISSN 0976 – 6375(Online) Volume 4, Issue 1, January- February (2013), © IAEME
431
erosive chemical fertilizers and different chemicals have caused. Therein it’s necessary to
make up a transparent system for plant food chemicals in crop production, crop method in
food production and market. There exist several laws, public notices, state standards in crop
production and post-process and so it's unattainable to induce all vital info concerning
specific crop on one paper. To put this info on sites, however crop production is a smaller
unit with country aspect and rural areas and other people living here have less expertise with
info technologies than people within the cities.
The Plan came out with activities associated with models to unfold systems of
progressive farm management (System of precision farming) by using info technologies in
crop production and market. This cluster of farmers and other people operating in
commission and grain purchase corporations possesses a yearly expertise the way to begin
with info technologies and use IT in their work. With advent of wireless communication
technology and sensors there's a brand new chance for a real integration of agricultural
information and practical geospatial infrastructure.
II. MAKING AN IMAGE
The effectiveness of decision-making in agriculture domain may be improved by
group action current native environmental and agro monitoring with Geographic sensing
element and internet applications. Effectiveness of any system may be evaluated on the idea
of its ability to deliver relevant, accurate, and timely info. Each sensing element used for
agricultural applications encompasses a location, and a sensing element location is sort of
perpetually vital. The spatial extension and close to real time convenience of sensing element
info layers in geospatial applications produce a good potential. Soil quality, atmospheric
pressure and crop sensing element characteristics in a very specific region may be
mechanically scan at frequent intervals and people readings may be collective with map
layers from various sources into spatial information representation/visualization for various
functions. Practical internet services and information coding models for spatial information
Infrastructures foster the combination of geo-sensors information with spatial-temporal
models. Presently - with the utilization of intelligent approach to databases and interactive
user support - it's attainable to seek out applicable maps on the web, however additionally to
form and modify these maps in keeping with specific and individual needs rather than mere
utilization of maps created by somebody else beforehand, these new geo-information
technologies permit people to use making interactively, examine and represent spatial info in
keeping with specific desires of the actual user. The goal isn't solely to supply a lot of info to
farmers, however provide it in a very manner which might not task one’s mind.
New technologies permit live connection to the self-generated inner sphere of our
spatial information via direct interaction with a brand new generation images and therefore
with probably infinite resources of the web.
Map could be an illustration of geographic reality with the utilization of symbols
representing selected qualities and characteristics ensuing from inventive efforts and choice
performed by its authors. It’s created for more use; spatial relations area unit of primary
importance. At the side of making supportive interactive internet maps, it's attainable to
supply mutual interaction map-user (including map information sources).
Cartography in its new type could be a distinctive self-generated multi-dimensional
tool, which might be employed in analysis, analyses, and communication of geospatial
information. It will utilize obtainable resources on the WWW. Therefore, a map is over
International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-
6367(Print), ISSN 0976 – 6375(Online) Volume 4, Issue 1, January- February (2013), © IAEME
432
simply area for manipulating and making images; it may be a graphic window with unlimited
prospects. There’s need to worry, that during this that means “cartography” isn't operating
and influencing simply the “map window”, however its half is additionally the structure of
data and interface – along they create formidable tool of wide usability.
This new visual-mental atmosphere uses benefits of our psychological feature, self-
generated mapping, which might be even more practical if it's performed with the utilization
of geo-visual dialogue with making mental image systems.
III. SENSING ELEMENT NETWORKS AND SWE
A sensing element network could be a laptop accessible network of the many,
spatially distributed devices identification sensors to observe conditions at completely
different locations, like temperature, sound, vibration, pressure, motion or pollutants. A
sensing element internet refers to internet accessible sensing element networks and archived
sensing element information that may be discovered and accessed victimization
commonplace protocols and computer program interfaces (APIs).SWE ( Sensor Web
Enablement ) presents several opportunities for adding a period sensing element dimension to
the web and also the internet.
The initial focus of has been to analyse standardized interfaces for live sensors
operational in near-real-time, instead of the traditional static information stores. It addresses
operation from distributed, heterogeneous, dynamic info sensors and sources of various
structure, supported internet services. It’s the goal to develop common access, planning, and
management interfaces and a descriptive language (SensorML) for managing sensing element
info and information in common regular manners, open source of any application. The
individual elements were designed to fulfill the subsequent desires:
•Describe sensors in a very standardized manner
•Standardize the access to determined information
•Standardize the method of what's ordinarily referred to as sensing element designing,
however actually is consisting of the various stages designing, scheduling, tasking,
collection, and process
•Building a framework and coding for measurements and observations
Some sensors area units already online are ready to return their location info as
observations and measurements. The ultimate missing part - a universal commonplace
framework for describing and tasking sensors in XML - has already been designed and
prototyped.
The specifications include:
Sensor Model Language (SensorML) – the overall models and XML coding language for
sensors.
Observations & Measurements (O&M) – the overall models associated an XML
coding for what a sensing element observes or measures.
International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-
6367(Print), ISSN 0976 – 6375(Online) Volume 4, Issue 1, January- February (2013), © IAEME
433
Sensor Collection Service (SCS) – A service by that a shopper will get observations from
one or a lot of sensors/platforms (can be mixed types). Purchasers may also get info that
describes the associated sensors and platforms.
Sensor Planning Service (SPS) – A service by that a shopper will verify assortment
feasibleness for a desired set of assortment requests for one or a lot of mobile
sensors/platforms, or the shopper could submit assortment requests on to these
sensors/platforms.
Web Notification Service (WNS) – A service by that a shopper could conduct a dialog with
one or a lot of different services. This service is beneficial once several collaborating services
area unit needed to satisfy a shopper request, and/or once important delays area unit
concerned is satisfying the request.
The said specifications area units are not comfortable conditions for a completely
operable SWE atmosphere. The step is that the development of a true framework of sensors
totally compliant with these specifications. Sensor Net could be a seller neutral ability
framework for Web-based intelligent discovery, access, control, analysis, and mental image
of on-line sensors, for the sensing element derived information repositories, and sensing
element connected process capabilities. In different words, Sensor Net tries to form a wide-
area system to gather and analyse information from sensors everywhere the country to
observe and observe threats, then alert agencies, emergency responders as necessary.
Developing associate open standards framework for practical sensing element
networks needs additionally finding a universal manner of connecting 2 basic interface sorts
– electrical device interfaces and application interfaces. This downside is solved by IEEE
1451 commonplace for transducers interfaces.
IV. AGRICULTURAL APPLICATIONS OF SENSING
ELEMENT NETWORKS
International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-
6367(Print), ISSN 0976 – 6375(Online) Volume 4, Issue 1, January- February (2013), © IAEME
434
Falling producer costs and rising prices of production area unit progressively forcing
agricultural businesses to optimize production prices. Therefore, the request for the selective
use of inputs like water, fertilizers or chemicals, is currently indispensable in trendy
agriculture. The growing environmental awareness of customers more accelerates this
method. Disease initiation and development could interact with many discernible factors like
soil temperature, air temperature, ratio, and different soil and part variables.
The farmer will for example outline wet temperature low limits (calculated as
temperature and relative humidity). Then, once the temperature drops below the predefined
thresholds, the code sends associate alarm via email or SMS. The farmer will activate frost
protection instrumentality and scale back crop loss to a minimum. Identical perspective is
applicable in observation of growth and development of plants, insects, and lots of different
invertebrate organisms’ endangerment.
New strategies of observation for agriculture area unit introduced with new generation
of sensors. New generation of therefore referred to as “Smart Dust”, that is associate rising
sensing element technology created up from little, wireless sensors or “motes.” These devices
area unit can speak with different sensors nonetheless sufficiently small to suit on the top of a
pin. Every element could be a little laptop with data provider and collector for one or a lot of
sensors, and a communication system.
An agriculture observation may use good dirt to observe weather information, water
balance and supply phonologic observation of crops, etc.
V. EFFORTS REQUIRED
The main efforts required to style and develop an integrated framework of dynamic
visual image and modelling tools for agricultural applications supported by wireless sensing
element networks info. The terms “dynamic visualization” describes in the main the
likelihood to scale, interactive inventive communication of users and map authors over the
web, and additionally presence of straightforward modelling tools for spatial still as temporal
analysis. Usability of the planned resolution is going to be evaluated in a very scope of data
systems acting within the agricultural domain.
The target of the project could be a framework developed for agile accessing
heterogeneous sensing element information and services, that area unit necessary for effective
higher cognitive process within the space of agricultural management. The advised
framework relies on following components:
(1) Heterogeneous distributed network of graded agricultural sensors.
(2) Communication network and standard interfaces between sensors and also the web.
VI. EXPECTED RESULT & DISSEMINATION
The main expected results of the this project work is that the development of
integrated portal for making mental image of sensing element primarily based agricultural
information as well as pilot implementation on selected areas. Portal creating practicality is
going to be developed and refined in keeping with the known needs. Besides that more partial
results are achieved including:
•An analysis of current technological level for sensing element Internet Enablement
systems standardization.
•A style of communication and mental image interface (an open architecture) and services.
International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-
6367(Print), ISSN 0976 – 6375(Online) Volume 4, Issue 1, January- February (2013), © IAEME
435
•A style of an integrated sensing element and geo-information portal design in keeping
with expected needs to practicality and content.
•The development of portal model and relevant services. Associate an application of open
design to allow full portal extensibility.
•Modeling tools for a good mental image of sensing element network information.
•Contextual mental image rules and climbable geo information style for observation
models;
•Basic sets of alternate kinds of signs colour and pattern libraries.
•Pilot analysis of the ready model in selected space.
VII. CONCLUSION
There exists a powerful concern that data will be overtly shared. Whereas it's
recognized that a lot of analysis addressing unreciprocated queries, there's a lot of info that
may be disseminated wide currently. The goal of the this project is to develop next
generation of easy, dependable, cost-effective and practical general-interest image service,
meeting user demands for versatile access to info, for everyone, from anyplace, at any time.
This development are going to be compatible with soon-to come extremely capable digital
devices and expected multimedia-based services responding quickly, accurately and flexibly
to the users desires. This can be establish and outline standards and formats reassuring
likeness, compatibility and ability for the info flow in and out of information. What is more,
it'll make sure the security, confidentiality, responsibility and accessibility of common
information, period translation capability, strength and user friendliness.
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Exploring novel method of using ict for rural agriculture development

  • 1. International Journal of Computer Engineering and Technology (IJCET), ISSN 0976- 6367(Print), ISSN 0976 – 6375(Online) Volume 4, Issue 1, January- February (2013), © IAEME 430 EXPLORING NOVEL METHOD OF USING ICT FOR RURAL AGRICULTURE DEVELOPMENT Faimida M. Sayyad# # Abdul Razzak Kalsekar Polytechnic ,Panvel-410206 , Maharashra-India. *JJT University, Jhunjhunu, India ABSTRACT Agro sensing has been around for some time but as of date has not given the desired results as far as increase in crop production and proper utilization and management of resources is concerned. Through this paper, an attempt has been made to formulate an architecture aimed at converging existing and future technologies which include the domains of sensing, telecommunications and agro related governance, education and research sectors. Standards have been introduced for the various communications between the elements. Telecom architecture and standards have not been changed in any manner. New data collection, analysis and application elements have been introduced so as to provide a common platform for all sectors to get all necessary information in a proper manner. The aim is to extract all necessary data from the different geological factors, formulate informative images, collect and analyse the same to facilitate for an innovative upheaval in the way agriculture is planned and executed. Keywords: ICT, Rural, Development, Strategy, Analysis of use of ICT. I. INTRODUCTION The relationships between human society and also the land are more and more reworked as a result of dramatic changes within the course of the twentieth century, notably by increasing industry, the mechanization of agriculture, immediacy in world trade and communication. National, regional and international views on agriculture should examine these and different factors so as to supply the most effective attainable basis for allocating resources, establishing rules, making policy, creating choices and at last work with helpful system. A lot of folks are getting responsive to the results on soil that years of farming and INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY (IJCET) ISSN 0976 – 6367(Print) ISSN 0976 – 6375(Online) Volume 4, Issue 1, January- February (2013), pp. 430-437 © IAEME:www.iaeme.com/ijcet.asp Journal Impact Factor (2012): 3.9580 (Calculated by GISI) www.jifactor.com IJCET © I A E M E
  • 2. International Journal of Computer Engineering and Technology (IJCET), ISSN 0976- 6367(Print), ISSN 0976 – 6375(Online) Volume 4, Issue 1, January- February (2013), © IAEME 431 erosive chemical fertilizers and different chemicals have caused. Therein it’s necessary to make up a transparent system for plant food chemicals in crop production, crop method in food production and market. There exist several laws, public notices, state standards in crop production and post-process and so it's unattainable to induce all vital info concerning specific crop on one paper. To put this info on sites, however crop production is a smaller unit with country aspect and rural areas and other people living here have less expertise with info technologies than people within the cities. The Plan came out with activities associated with models to unfold systems of progressive farm management (System of precision farming) by using info technologies in crop production and market. This cluster of farmers and other people operating in commission and grain purchase corporations possesses a yearly expertise the way to begin with info technologies and use IT in their work. With advent of wireless communication technology and sensors there's a brand new chance for a real integration of agricultural information and practical geospatial infrastructure. II. MAKING AN IMAGE The effectiveness of decision-making in agriculture domain may be improved by group action current native environmental and agro monitoring with Geographic sensing element and internet applications. Effectiveness of any system may be evaluated on the idea of its ability to deliver relevant, accurate, and timely info. Each sensing element used for agricultural applications encompasses a location, and a sensing element location is sort of perpetually vital. The spatial extension and close to real time convenience of sensing element info layers in geospatial applications produce a good potential. Soil quality, atmospheric pressure and crop sensing element characteristics in a very specific region may be mechanically scan at frequent intervals and people readings may be collective with map layers from various sources into spatial information representation/visualization for various functions. Practical internet services and information coding models for spatial information Infrastructures foster the combination of geo-sensors information with spatial-temporal models. Presently - with the utilization of intelligent approach to databases and interactive user support - it's attainable to seek out applicable maps on the web, however additionally to form and modify these maps in keeping with specific and individual needs rather than mere utilization of maps created by somebody else beforehand, these new geo-information technologies permit people to use making interactively, examine and represent spatial info in keeping with specific desires of the actual user. The goal isn't solely to supply a lot of info to farmers, however provide it in a very manner which might not task one’s mind. New technologies permit live connection to the self-generated inner sphere of our spatial information via direct interaction with a brand new generation images and therefore with probably infinite resources of the web. Map could be an illustration of geographic reality with the utilization of symbols representing selected qualities and characteristics ensuing from inventive efforts and choice performed by its authors. It’s created for more use; spatial relations area unit of primary importance. At the side of making supportive interactive internet maps, it's attainable to supply mutual interaction map-user (including map information sources). Cartography in its new type could be a distinctive self-generated multi-dimensional tool, which might be employed in analysis, analyses, and communication of geospatial information. It will utilize obtainable resources on the WWW. Therefore, a map is over
  • 3. International Journal of Computer Engineering and Technology (IJCET), ISSN 0976- 6367(Print), ISSN 0976 – 6375(Online) Volume 4, Issue 1, January- February (2013), © IAEME 432 simply area for manipulating and making images; it may be a graphic window with unlimited prospects. There’s need to worry, that during this that means “cartography” isn't operating and influencing simply the “map window”, however its half is additionally the structure of data and interface – along they create formidable tool of wide usability. This new visual-mental atmosphere uses benefits of our psychological feature, self- generated mapping, which might be even more practical if it's performed with the utilization of geo-visual dialogue with making mental image systems. III. SENSING ELEMENT NETWORKS AND SWE A sensing element network could be a laptop accessible network of the many, spatially distributed devices identification sensors to observe conditions at completely different locations, like temperature, sound, vibration, pressure, motion or pollutants. A sensing element internet refers to internet accessible sensing element networks and archived sensing element information that may be discovered and accessed victimization commonplace protocols and computer program interfaces (APIs).SWE ( Sensor Web Enablement ) presents several opportunities for adding a period sensing element dimension to the web and also the internet. The initial focus of has been to analyse standardized interfaces for live sensors operational in near-real-time, instead of the traditional static information stores. It addresses operation from distributed, heterogeneous, dynamic info sensors and sources of various structure, supported internet services. It’s the goal to develop common access, planning, and management interfaces and a descriptive language (SensorML) for managing sensing element info and information in common regular manners, open source of any application. The individual elements were designed to fulfill the subsequent desires: •Describe sensors in a very standardized manner •Standardize the access to determined information •Standardize the method of what's ordinarily referred to as sensing element designing, however actually is consisting of the various stages designing, scheduling, tasking, collection, and process •Building a framework and coding for measurements and observations Some sensors area units already online are ready to return their location info as observations and measurements. The ultimate missing part - a universal commonplace framework for describing and tasking sensors in XML - has already been designed and prototyped. The specifications include: Sensor Model Language (SensorML) – the overall models and XML coding language for sensors. Observations & Measurements (O&M) – the overall models associated an XML coding for what a sensing element observes or measures.
  • 4. International Journal of Computer Engineering and Technology (IJCET), ISSN 0976- 6367(Print), ISSN 0976 – 6375(Online) Volume 4, Issue 1, January- February (2013), © IAEME 433 Sensor Collection Service (SCS) – A service by that a shopper will get observations from one or a lot of sensors/platforms (can be mixed types). Purchasers may also get info that describes the associated sensors and platforms. Sensor Planning Service (SPS) – A service by that a shopper will verify assortment feasibleness for a desired set of assortment requests for one or a lot of mobile sensors/platforms, or the shopper could submit assortment requests on to these sensors/platforms. Web Notification Service (WNS) – A service by that a shopper could conduct a dialog with one or a lot of different services. This service is beneficial once several collaborating services area unit needed to satisfy a shopper request, and/or once important delays area unit concerned is satisfying the request. The said specifications area units are not comfortable conditions for a completely operable SWE atmosphere. The step is that the development of a true framework of sensors totally compliant with these specifications. Sensor Net could be a seller neutral ability framework for Web-based intelligent discovery, access, control, analysis, and mental image of on-line sensors, for the sensing element derived information repositories, and sensing element connected process capabilities. In different words, Sensor Net tries to form a wide- area system to gather and analyse information from sensors everywhere the country to observe and observe threats, then alert agencies, emergency responders as necessary. Developing associate open standards framework for practical sensing element networks needs additionally finding a universal manner of connecting 2 basic interface sorts – electrical device interfaces and application interfaces. This downside is solved by IEEE 1451 commonplace for transducers interfaces. IV. AGRICULTURAL APPLICATIONS OF SENSING ELEMENT NETWORKS
  • 5. International Journal of Computer Engineering and Technology (IJCET), ISSN 0976- 6367(Print), ISSN 0976 – 6375(Online) Volume 4, Issue 1, January- February (2013), © IAEME 434 Falling producer costs and rising prices of production area unit progressively forcing agricultural businesses to optimize production prices. Therefore, the request for the selective use of inputs like water, fertilizers or chemicals, is currently indispensable in trendy agriculture. The growing environmental awareness of customers more accelerates this method. Disease initiation and development could interact with many discernible factors like soil temperature, air temperature, ratio, and different soil and part variables. The farmer will for example outline wet temperature low limits (calculated as temperature and relative humidity). Then, once the temperature drops below the predefined thresholds, the code sends associate alarm via email or SMS. The farmer will activate frost protection instrumentality and scale back crop loss to a minimum. Identical perspective is applicable in observation of growth and development of plants, insects, and lots of different invertebrate organisms’ endangerment. New strategies of observation for agriculture area unit introduced with new generation of sensors. New generation of therefore referred to as “Smart Dust”, that is associate rising sensing element technology created up from little, wireless sensors or “motes.” These devices area unit can speak with different sensors nonetheless sufficiently small to suit on the top of a pin. Every element could be a little laptop with data provider and collector for one or a lot of sensors, and a communication system. An agriculture observation may use good dirt to observe weather information, water balance and supply phonologic observation of crops, etc. V. EFFORTS REQUIRED The main efforts required to style and develop an integrated framework of dynamic visual image and modelling tools for agricultural applications supported by wireless sensing element networks info. The terms “dynamic visualization” describes in the main the likelihood to scale, interactive inventive communication of users and map authors over the web, and additionally presence of straightforward modelling tools for spatial still as temporal analysis. Usability of the planned resolution is going to be evaluated in a very scope of data systems acting within the agricultural domain. The target of the project could be a framework developed for agile accessing heterogeneous sensing element information and services, that area unit necessary for effective higher cognitive process within the space of agricultural management. The advised framework relies on following components: (1) Heterogeneous distributed network of graded agricultural sensors. (2) Communication network and standard interfaces between sensors and also the web. VI. EXPECTED RESULT & DISSEMINATION The main expected results of the this project work is that the development of integrated portal for making mental image of sensing element primarily based agricultural information as well as pilot implementation on selected areas. Portal creating practicality is going to be developed and refined in keeping with the known needs. Besides that more partial results are achieved including: •An analysis of current technological level for sensing element Internet Enablement systems standardization. •A style of communication and mental image interface (an open architecture) and services.
  • 6. International Journal of Computer Engineering and Technology (IJCET), ISSN 0976- 6367(Print), ISSN 0976 – 6375(Online) Volume 4, Issue 1, January- February (2013), © IAEME 435 •A style of an integrated sensing element and geo-information portal design in keeping with expected needs to practicality and content. •The development of portal model and relevant services. Associate an application of open design to allow full portal extensibility. •Modeling tools for a good mental image of sensing element network information. •Contextual mental image rules and climbable geo information style for observation models; •Basic sets of alternate kinds of signs colour and pattern libraries. •Pilot analysis of the ready model in selected space. VII. CONCLUSION There exists a powerful concern that data will be overtly shared. Whereas it's recognized that a lot of analysis addressing unreciprocated queries, there's a lot of info that may be disseminated wide currently. The goal of the this project is to develop next generation of easy, dependable, cost-effective and practical general-interest image service, meeting user demands for versatile access to info, for everyone, from anyplace, at any time. This development are going to be compatible with soon-to come extremely capable digital devices and expected multimedia-based services responding quickly, accurately and flexibly to the users desires. This can be establish and outline standards and formats reassuring likeness, compatibility and ability for the info flow in and out of information. What is more, it'll make sure the security, confidentiality, responsibility and accessibility of common information, period translation capability, strength and user friendliness. REFERENCES [1] Akakpo, J. and Fontaine, M. (2001) ‘Ghana’s Community Learning Centres.’ In Latchem, C. and Walker, D. (eds) (2001) Perspectives on Distance Education. Case Studies and Key Issues. Vancouver: Commonwealth of Learning. [2] Ashley, C. and Carney, D. (1999) Sustainable Livelihoods: Lessons from Early Experience. London: Department for International Development. [3] Ashley, C. and S. Maxwell (2001) (eds) Rethinking Rural Development. Development Policy Review 19 (4) 395–573. [4] Baumann, P. (1999) ‘Information and Power: Implications for Process Monitoring. A Review of the Literature.’ ODI Working Paper 120. London: Overseas Development Institute. [5] Bridges.org (2001) Spanning the Digital Divide: Understanding and Tackling the Issues. www.bridges.org/spanning/report.html [6] Chambers, R. (1997) Whose Reality Counts? Putting the Last First. London: Intermediate Technology. [7] Report of the Expert Committee for Improving Agricultural Statistics, Govt of India , 2011. [8] Chapman, R., Slaymaker, T., and Young. J. (forthcoming) The Role of Information in Support of Sustainable Livelihoods. Report prepared for FAO, Rome. Christoplos, I., Farrington, J. and Kidd, A. (2001) ‘Extension, Poverty and Vulnerability. [9] DFID (2000) ‘DFID Target Strategy Paper: Halving World Poverty by 2015.’ London: Department for International Development.
  • 7. International Journal of Computer Engineering and Technology (IJCET), ISSN 0976- 6367(Print), ISSN 0976 – 6375(Online) Volume 4, Issue 1, January- February (2013), © IAEME 436 [10]DOTForce (2001) Global Bridges, Digital Opportunities. Draft report of the G8’s Digital Opportunities Taskforce (DOTForce) Consultations, April 2001. [11]Ellis, F. and Biggs, S. (2001) ‘Evolving Themes in Rural Development 1950s–2000s.’ Development Policy Review, 19 (4): 437–449. [12]FAO (1998) Communication for Development Report 1996–1997. Communication for Development Group. Extension, Education and Communication Service. Research, Extension and Training Division. Sustainable Development Department. Rome: FAO. [13]FAO/World Bank (2000) Agricultural Knowledge and Information Systems: Strategic Vision and Principles. Rome: FAO/World Bank. [14]FAO/WAICENT/SDR (2000a) FarmNet Farmer Information Network for Agricultural and Rural Development. Research, Extension and Training Division (SDR), WAICENT. Rome: FAO. FAO/WAICENT/SDR (2000b) VERCON Virtual Extension, Research and Communication Network. Research, Extension and Training Division (SDR), WAICENT. Rome: FAO. [15]IFAD (2001) Rural Poverty Report 2001: The Challenge of Ending Rural Poverty. International Fund for Agricultural Development. Oxford: Oxford University Press. [16]Irz, X., Lin, L. Thirtle, C. and Wiggins, S. (2001), ‘Agricultural Productivity Growth and Poverty [17]Alleviation’, Development Policy Review, 19 (4): 449–67. [18]ISG and TDG (2000) Internet Use and Diagnostic Study – East Africa (supporting innovation in the [19]provision of agricultural support services through Linked Local Learning). A collaborative [20]project of the International Support Group, Netherlands and TeleCommons Development Group, Canada. [21]Jafri, A., Dongre, A., Tripathi, V., Aggrawal, A., Shrivastava, S. (2002) ‘Information Communication Technologies and Governance: The Gyandoot Experiment in Dhar District of Madhya Pradesh, India.’ ODI Working Paper 160. London: ODI. [22]Ramirez, R. (1998) ‘Communication: A Meeting Ground for Sustainable Development’ in Richardson, D. and Paisley, L. (1998) The First Mile of Connectivity. Advancing [23]Telecommunications for Rural Development Through a Participatory Communication Approach. Rome: FAO. [24]Rivera, W. (2001) ‘Agricultural and Rural Extension: Options for Reform.’ In collaboration with Extension, Education and communication Service, SDRE, FAO, Rome. [25]Richardson, D. and Paisley, L. (1998) The First Mile of Connectivity. Advancing Telecommunications for Rural Development Through a Participatory Communication Approach. Rome: FAO. [26]Richardson, D. (1997) The Internet and Rural and Agricultural Development: An Integrated Approach. Paper prepared for the FAO. TeleCommons Development Group, Ontario, Canada. [27]Roling, N. (1988) Extension Science: Information Systems in Agricultural Development. Cambridge: Cambridge University Press. [28]Roling, N (1995) What to Think of Extension? A Comparison of Three Models of Extension Practice. AERDD Bulletin.
  • 8. International Journal of Computer Engineering and Technology (IJCET), ISSN 0976- 6367(Print), ISSN 0976 – 6375(Online) Volume 4, Issue 1, January- February (2013), © IAEME 437 [29]Skuse, A. (2001) ‘Information Communication Technologies, Poverty and Empowerment.’ Dissemination Note 3, Social Development Department, Department for International Development, London, UK. [30]M. Wegmuller, J. P. von der Weid, P. Oberson, and N. Gisin, “High resolution fiber distributed measurements with coherent OFDR,” in Proc. ECOC’00, 2000, paper 11.3.4, p. 109. [31]R. E. Sorace, V. S. Reinhardt, and S. A. Vaughn, “High-speed digital-to-RF converter,” U.S. Patent 5 668 842, Sept. 16, 1997. [32] (2002) The IEEE website. [Online]. Available: http://www.ieee.org/ [33]M. Shell. (2002) IEEEtran homepage on CTAN. [Online]. Available: http://www.ctan.org/tex- archive/macros/latex/contrib/supported/IEEEtran/ [34]FLEXChip Signal Processor (MC68175/D), Motorola, 1996. [35]“PDCA12-70 data sheet,” Opto Speed SA, Mezzovico, Switzerland. [36]A. Karnik, “Performance of TCP congestion control with rate feedback: TCP/ABR and rate adaptive TCP/IP,” M. Eng. thesis, Indian Institute of Science, Bangalore, India, Jan. 1999. [37]Mr. Shrinivas R. Zanwar and Prof R. D. Kokate, “Advanced Agriculture System”, International Journal of Advanced Research in Engineering & Technology (IJARET), Volume 3, Issue 2, 2012, pp.111 - 118, ISSN Print: 0976-6480, ISSN Online: 0976-6499. [38]Manisha Shinde-Pawar and Chandrashekhar Suryawanshi, “Integrating GIS and Knowledge Management Resources in Indian Agriculture: Social and National Concern for Information Sharing”, International Journal of Management (IJM), Volume 4, Issue 1, 2013, pp. 258 - 265, ISSN Print: 0976-6502, ISSN Online: 0976-6510.