Android Based Mobile Application to Estimate Nitrogen Content in Rice Crop
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2016 by IJCTT Journal|
|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.
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.
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Image processing, Leaf color chart, Android studio, digital camera, rice field.