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Study on Machine Learning for Identification of Farmer’s Query in Kannada Language

by Anusha Pai, Department Of CSE, Sarika Hegde
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 178 - Number 19
Year of Publication: 2019
Authors: Anusha Pai, Department Of CSE, Sarika Hegde
10.5120/ijca2019919017

Anusha Pai, Department Of CSE, Sarika Hegde . Study on Machine Learning for Identification of Farmer’s Query in Kannada Language. International Journal of Computer Applications. 178, 19 ( Jun 2019), 40-47. DOI=10.5120/ijca2019919017

@article{ 10.5120/ijca2019919017,
author = { Anusha Pai, Department Of CSE, Sarika Hegde },
title = { Study on Machine Learning for Identification of Farmer’s Query in Kannada Language },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2019 },
volume = { 178 },
number = { 19 },
month = { Jun },
year = { 2019 },
issn = { 0975-8887 },
pages = { 40-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume178/number19/30645-2019919017/ },
doi = { 10.5120/ijca2019919017 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:50:53.548413+05:30
%A Anusha Pai
%A Department Of CSE
%A Sarika Hegde
%T Study on Machine Learning for Identification of Farmer’s Query in Kannada Language
%J International Journal of Computer Applications
%@ 0975-8887
%V 178
%N 19
%P 40-47
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Agriculture is considered as the economic backbone of almost all the countries in the world. As there is increase in population, the need for basic requirements such as food, clothing, shelters, and medicines also increases. To meet all these needs, advancement in agriculture is needed. Various technologies have been introduced in agriculture to increase the yield of several crops. One among them is the machine learning technology. Machine learning is an important area in computer science that allows the computers to write programs on its own without being explicitly programmed. Machine learning techniques in agriculture help to improve the traditional farming techniques in a very efficient way. The main purpose of this paper is to learn different use of machine learning techniques in agriculture and to develop machine learning model for agriculture.

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Index Terms

Computer Science
Information Sciences

Keywords

Agriculture Machine Learning Supervised Learning Unsupervised Learning Speech Recognition MFCC

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