Krishi-Mitra field of ICT helps in basic aspects of

Krishi-Mitra :
An ICT enabled Interface for Farmers

Kolhe Sushma R1,
Labade Dipali M2, Vaidya Geeta B3, Kokane Gauri K4.

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1Student,
Computer Engineering, SND College of Engineering, Yeola, SPPU, Maharashtra,
India

2Student,
Computer Engineering, SND College of Engineering, Yeola, SPPU, Maharashtra,
India

3Student,
Computer Engineering, SND College of Engineering, Yeola, SPPU, Maharashtra,
India

4Student,
Computer Engineering, SND College of Engineering, Yeola, SPPU, Maharashtra,
India

Guided
By:

Prof.
Dhakane V.N., Professor of Computer
Engineering, SND College of Engineering Yeola, SPPU, Maharashtra, India.

Abstract

Application of IT is
associated with markets in the developed countries where capital intensive method
of agricultural production is followed. However, in a country like India where
rural base is wide, its relevance cannot be overlooked. In addition to
facilitating farmers in improving the efficiency and productivity of agriculture and allied activities, the potential
of IT lies in bringing about an overall
qualitative improvement in life by providing timely and quality information
inputs for decision making; IT can also be effectively used to strengthen the supply
chain for agro based companies for leading to better price realization by
farmers. fast growth in the
field of ICT helps in basic aspects of mankind like- agriculture, education,
healthcare etc. However, the moderate technical growth of ICT applications is
confined to the community of a limited number of people, who live in digital
pockets.

 

Key
Words: – ICT, HCI, Internet,
Information Retrieval, farming, Agriculture information system, iconic
interface.

 

1. INTRODUCTION

                  The availability and
accessibility of information are the important points in taking the optimal
decision at right time. Nowadays, elevation of ICT make possible to recove almost
any information from the global warehous So, they are unable to access required
information on the Farming life cycle, seed selection, pesticides, market price
etc. from the internet. As a result, they are not capable to take optimal
decisions at different stages of farming life cycle, which make huge impact on
the farmers revenue. developed interface for the Indian farmer community to
access the agricultural information from the global internet repository and
store them into local repository. The proposed interface is critically
evaluated with the farmer from different states of India. The evaluation
results proved the effectiveness of the proposed interface. user can only
interact with the system through icons and results back with their intended
agricultural information in Indian language text and spoken forms both. To
access the motive agricultural information from internet and local repository,
users have to form proper query. The query is generated by selecting the
corresponding icon(s) displayed in the interface. we proposed to develop an
iconic interface which is integrated with speech based interaction in Indian
languages. The proposed interface is critically evaluated with the farmer from
different states of India. we have also included a feature of weather forecasting which will help
all the farmers to work according to weather prediction and get a fruitfull
results. With respect to this farmer got an amazing option of predicting the
future lines of production based on previous data and history populated in the
system. So system will gain knowledge about the process and ins outs once
farmer feeds in their previous experience. Now a days our main source of health
that we getting our farmer they are not getting information related to market
rate, weather and government schema.

 

2. LITERATURE SURVEY:

 In early days farmer usage  the information in internet is primarily
maintained in English.So, a large number of people are deprived from the
benefit of internet due to technical and English language illiteracy. This
scenario is very bad in developing country like India wherenearly 76 % are
English illiterate Moreover, a large percentage of the English literate people
are also unable to find their exact need form the large database of internet
due to lack of roficient knowledge in English. Indian farmers belong to such
type of people who are not much sound in both technical as well as in English.

·        
In 1
their work has presented the essential agriculture information is very useful
to a farmer for taking effective decision thus we proposed to develop an iconic
interface which is integrated with speech based interaction in Indian
languages. The proposed interface is critically evaluated with the farmer from
different states of India. The evaluation results proved the effectiveness of
the proposed interface.

 

·        
In 2
their work has presented farmers need information at all stages of the farming
life cycle to make optimal decisions. The required information includes not
only prior knowledge but also real time (dynamic) information such as market
prices and current production levels. Some valuable information needed by the
farmers is produced by government organizations and is available in different
locations in different formats.

 

·        
In 3  their work has presented resent our
experiences with GappaGoshti – our rural social networking platform. There are
several services that have become popular in the digital citizen circles, such
as Twitter and Face book. These platforms started off with just a social
aspect, but they have also been used effectively for business.

 

3. PROPOSED SYSTEM:

In
this proposed we have to implement a system to have an effective vegetable
production, weather production and production prediction so farmer  can farming safely and produce best product.
we are implementing speech converter via this farmer can get information from
cloud.

This proposed system also
provide iconic interface which is used to provide easy communication between
farmers which is educated or uneducated. This system also provide a text to
speech engine which is used to translate the textual information into speech.
Some user farmers having no capability to read this information or because of
time requirement they does not read this information. By using text to speech
engine they can listen this information easily. Text to speech engine provide a
information in all three basic languages i.e. Marathi, Hindi and English. This
also provides the notifications of governments newly released services for
farmers and also provides a banks loan details information.

 

 

 

 

 

 

3.1
Architecture of proposed system:

     This architecture contains a Iconic module which
contains fruits and vegetables icons. It also contain Registration, Bank,
Government, Weather Prediction, Production Prediction modules. The Registration
module provides a user registration facility which includes new registration
and login facility. Bank module provides a information of government loan
related facilities of user. Government module provides a notifications of new
services released by government for farmers. Weather prediction provides the
information related to climates which is suitable for farming or not.
Production prediction provides a information related to market rates of fruits
and vegetables in nearer cities. This proposed system provides a text to speech
engine to translate textual information into audio formats like Marathi, Hindi
and English  which is selected by user.
For converting information of English to Indian language, English to Indian
language convertor is used. This proposed system uses Internet and Database for
users required  information.

 

 

 

Fig,1 Architecture of proposed system

 

3.1Algorithmic
strategy:

 

Ø
Hashing Algorithm:-

 

The hashing algorithm usage a hash function for different
functionalities like Bloom filters, Finding duplicate records, Protecting Data,
Finding similar records, Geometric hashing and so on. The hash function is a
function that can be used to map data of arbitrary size to data of fixed size.
Hash function accelerate table or database lookup by detecting duplicated
records in a large file. The hash table map several different keys to the same
index. The hash function contains a set of records, rather than a single
record. The hash function are used to build caches for large datasets stored in
slow medium. This is also used in file comparison. This hash algorithm is used
for finding a duplicated records and avoid them. This is also used in system
when user enters a User id or Password for registration. It avoid repetition by
giving alert of same registration. 

           

4.
CONCLUSIONS

An
interface to accessing the agricultural information from the global repository
of internet and the local repository has been proposed in this paper. The
proposed interface is able to overcome the digital and language confinement of
the Indian farmers by employing the multiple modes of interaction techniques.
The empirical evaluation through large di-versified users reveals that the
Krishi-Mitra interface adequately caters the need of the user. The proposed
interface is able to overcome the digital and language confinement of the
Indian farmers by employing the multiple modes of interaction techniques. The
empirical evaluation through large diversified users reveals that the
Krishi-Mitra interface adequately caters the need of the user.

5. References

1
Ghosh, A. B. Garg, Sayan Sarcar, P.S.V.S Sridhar, Ojasvi Maleyvar, and Raveesh
kapoo “Krishi-Bharati: An Interface for Indian Farmer”, Soumalya University of
Petroleum & Energy Studies, Dehradun, India,Indian Institute of Technology
Kharagpur, India

 

2 L. N. De Silva, J. S.
Goonetillake, G. N. Wikramanayake, and A.Ginige, “Towards using ICT to enhance
flow of information to aid farmer Sustainability in Sri Lanka,” in ACIS 2012:
Location, location, location: Proceedings of the 23rd Australasian       Conference on Information Systems, pp.
1-10. ACIS, 2012.

3 Lobo, S.,Doke, P.,
&Kimbahune, S.(2010, October). GappaGoshti™: a social networking platform
for information dissemination in the rural world.In Proceedingsof the 6th
Nordic Conference on Human- Computer Interaction: Extending Boundaries (pp.
727-730). ACM.

 

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