Android Based Mobile Application to Estimate Nitrogen Content in Rice Crop
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2016 by IJCTT Journal | ||
| Volume-38 Number-2 |
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| Year of Publication : 2016 | ||
| Authors : Navdeep Kaur, Derminder Singh | ||
| DOI : 10.14445/22312803/IJCTT-V38P116 |
Navdeep Kaur, Derminder Singh "Android Based Mobile Application to Estimate Nitrogen Content in Rice Crop". International Journal of Computer Trends and Technology (IJCTT) V38(2):87-91, August 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
The color of leaf corresponds to
nitrogen deficiency status of that particular crop,
farmers compares color of leaf with Leaf Color
Chart (LCC) in order to estimate the need of
nitrogen fertilizer of their crop. However the
ability to compare leaf color with the LCC varies
from person to person that affects the accuracy of
final result. This paper proposes a mobile-device
based application called "mlcc". Main idea is to
simultaneously capture and process a 2-D color
image of rice leaf, thus eliminating the expensive
external components, reducing the human color
perception and results in achieving high color
accuracy. This android-based application can be
correctly identified all the important 6 green color
levels of rice leaf.
References
[1] Houshmandfar A and Kimaro A (2011) Calibrating the
leaf color chart for rice nitrogen management in
Northern Iran. African J Agric Res 6: 2627-33.
[2] Islam M S, Bhuiya M S U and Rahman H (2009)
Evaluation of SPAD and LCC Based Nitrogen
Management in rice. Bangladesh J Agril Res34(4): 661-72.
[3] Kaur G, Din S and Brar A S (2014) Design and
Development of Software for the Implementation of Image
Processing Approach for Leaf Area Measurement. Int J
Comp Sci InfoTech 5(3): 4793-97.
[4] Kaur S and Singh D (2015) Geometric Feature Extraction
of Selected Rice Grains using Image Processing
Techniques. Int J Comp Appl124(8): 41-46.
[5] Pandurng J A and Lomte S S (2015) Digital Image
Processing Applications in Agriculture: A Survey. Int J
Adv Res Comp Sci Software Engg5(3): 622-24.
[6] Tewari V K, Arudra A K, Kumar S P, Pandey V and
Chandel N S (2013) Estimation of plant nitrogen content
using digital image processing pp.15.
Keywords
Image processing, Leaf color chart,
Android studio, digital camera, rice field.