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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 - 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
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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