Kisán Váni: Android based Agricultural Helpdesk System for Kannada Language
Roshan Fernandes, Shruthi M N. and Sharmada B.. Article: Kisan Vani: Android based Agricultural Helpdesk System for Kannada Language. IJCA Proceedings on International Conference on Information and Communication Technologies ICICT(5):26-28, October 2014. Full text available. BibTeX
@article{key:article,
author = {Roshan Fernandes and Shruthi M. N. and Sharmada B.},
title = {Article: Kisan Vani: Android based Agricultural Helpdesk System for Kannada Language},
journal = {IJCA Proceedings on International Conference on Information and Communication Technologies},
year = {2014},
volume = {ICICT},
number = {5},
pages = {26-28},
month = {October},
note = {Full text available}
}
Abstract
The evolution of World Wide Web has such an impact on human being is that people not only access internet on desktop but also on mobile in their day to day life. The inventions of mobile phones have affected human life through their varieties of applications they provide. They are useful in times of emergencies and make it easier to access information on the go. Also, most mobile phone applications are very user friendly such that even the common man has the ability to use it. There are people in our country who cannot read or write English and sometimes even their own mother tongue. These people find it difficult to navigate the Internet and access information that is readily available. This applies particularly to the farmers. Farmers in general, form the backbone of our country but we will be concentrating on the farmers of Karnataka. This paper gives a description of existing systems and implementation details of Android application that can be easily used by farmers to solve their day-to-day problem queries related to agriculture and farming. There is no typing or reading required. All the farmer has to do is press a button, speak his problem and he will get the solution in Kannada.
References
- GUO Song, "A New Approach for Web Service Composition Based on Semantic",
- R. Cooley , B. Mobasher, and J. Srivastava, "Web mining : Information and Pattern Discovery on the World Wide Web, IEEE 1997.
- C. S. Bhatia, Dr. Suresh Jain, "Semantic Web Mining: Using Ontology Learning and Grammatical Rule Inference Technique"
- S. Madria, S. Bhowmick, S. Sourav, W. K. Ng & E. M. Lim "Research Issues in Web Data Mining", Citeseer Beeta, 1999, P. 4-12
- Xu, G. ; Zhang, Y. ; Li, L. (2011) Web Mining and Social Networking, Techniques and Applications, Australia: Springer
- Kalika Bali, Sunayana Sitaram, Sebastien Cuendet, Indrani Medhi, "A Hindi Speech Recognizer for an Agricultural Video Search Application", ACM, 2013.
- Chan, Hao Yee and Rosenfeld, R. Discriminative Pronunciation Learning for Speech Recognition for Resource Scarce Languages. Proc. ACM DEV 2012, Annual ACM Symposium on Computing for Development, March 2012,Atlanta, GA.
- Sharanbasappa Honnashetty, Mallamma Reddy & Dr. M Hanumanthappa, English To Kannada Sentence Translation Using POS Tagger by Reordering Parse Tree Structure, International Conference on Computer Science & Engineering (ICCSE), 17th March-2013, Pune, ISBN: 978-93-82208-74-7