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Automatic Estimation of Nitrogen content in Cotton (Gossypium Hirsutum L) Plant by using Image Processing Techniques: A Review

by Asaram Pandurang Janwale, Santosh S. Lomte
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 20
Year of Publication: 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 },
issue_date = { June 2015 },
volume = { 120 },
number = { 20 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 21-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number20/21343-4355/ },
doi = { 10.5120/21343-4355 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:06:43.733047+05:30
%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
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 20
%P 21-24
%D 2015
%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
  1. Biao Jia et al. "Use of a Digital Camera to Monitor the Growth and Nitrogen Status of Cotton" Scientific World Journal Volume 2014, Article ID 602647.
  2. Mr. Swapnil S. Ayane et al. "Identification Of Nitrogen Deficiency In Cotton Plant By Using Image", IJPRET, 2013; Volume 1(8): 112-118.
  3. WANG Fang-Yong et al "Estimation of Canopy Leaf Nitrogen Status Using Imaging Spectrometer and Digital Camera in Cotton", Acta Agronomica Sinica 06/2011; 37(6):1039-1048. DOI: 10. 3724/SP. J. 1006. 2011. 01039
  4. Xing-mei SUO,"Artificial Neural Network to Predict Leaf Population Chlorophyll Content from Cotton Plant Images" Agricultural Sciences in China, Volume 9, Issue 1, January 2010, Pages 38–45, doi:10. 1016/S1671-2927(09)60065-1.
  5. Maicon A. Sartin, Et Al. "Image Segmentation with Artificial Neural Network for Nutrient Deficiency in Cotton Crop" Journal of Computer Science 10 (6): 1084-1093, 2014, ISSN: 1549-3636, 2014 Science Publications doi:10. 3844/jcssp. 2014. 1084. 1093 Published Online 10 (6) 2014
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  7. R. Sui, J. A. Thomasson "Ground-Based Sensing System for Cotton Nitrogen Status Determination", Vol. 49(6): 1983?1991 _ 2006 American Society of Agricultural and Biological Engineers ISSN 0001?2351 1983.
  8. Xiuliang Jin et al. "Newly Combined Spectral Indices to Improve Estimation of Total Leaf Chlorophyll Content in Cotton",1939-1404 © 2014 IEEE.
  9. Qiuxiang Yi et al. "Leaf and canopy water content estimation in cotton using hyper spectral indices and radiative transfer models", Elsevier International Journal of Applied Earth Observation and Geoinformation 33 (2014) 67–75
  10. Janwale Asaram Pandurng et al. Digital Image Processing Applications in Agriculture: A Survey
  11. ICAR-Central Institute for Cotton Research. http://www. cicr. org. in/ResearchNotes. html
Index Terms

Computer Science
Information Sciences

Keywords

Nitrogen deficiency Cotton plant neural network remote sensing color models.

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