Research Article
Automatic Estimation of Nitrogen content in Cotton (Gossypium Hirsutum L) Plant by using Image Processing Techniques: A Review
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 120 - Issue 20 |
| Published: June 2015 |
| Authors: Asaram Pandurang Janwale, Santosh S. Lomte |
10.5120/21343-4355
|
Asaram Pandurang Janwale, Santosh S. Lomte . Automatic Estimation of Nitrogen content in Cotton (Gossypium Hirsutum L) Plant by using Image Processing Techniques: A Review. International Journal of Computer Applications. 120, 20 (June 2015), 21-24. DOI=10.5120/21343-4355
@article{ 10.5120/21343-4355,
author = { Asaram Pandurang Janwale,Santosh S. Lomte },
title = { Automatic Estimation of Nitrogen content in Cotton (Gossypium Hirsutum L) Plant by using Image Processing Techniques: A Review },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 120 },
number = { 20 },
pages = { 21-24 },
doi = { 10.5120/21343-4355 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Asaram Pandurang Janwale
%A Santosh S. Lomte
%T Automatic Estimation of Nitrogen content in Cotton (Gossypium Hirsutum L) Plant by using Image Processing Techniques: A Review%T
%J International Journal of Computer Applications
%V 120
%N 20
%P 21-24
%R 10.5120/21343-4355
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Cotton is an important crop in India. Yield depends on many factors like nutrients, water etc. Nitrogen plays important role to increase yield. It is an important to detect and manage Nitrogen deficiency in cotton crop. There are different methods for Nitrogen detection like color analysis using deferent color analysis model, remote sensing, and neural network etc. This paper reviews these different techniques used to detect Nitrogen deficiency in cotton plant and conclude Image processing techniques using color models is the best technique to detect deficiency in cotton plant easily, inexpensively and more accurately.
References
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- ICAR-Central Institute for Cotton Research. http://www. cicr. org. in/ResearchNotes. html
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