International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 38 | Number 1 | Year 2016 | Article Id. IJCTT-V38P116 | DOI : https://doi.org/10.14445/22312803/IJCTT-V38P116

Android Based Mobile Application to Estimate Nitrogen Content in Rice Crop

Navdeep Kaur, Derminder Singh

Citation :

Navdeep Kaur, Derminder Singh, "Android Based Mobile Application to Estimate Nitrogen Content in Rice Crop," International Journal of Computer Trends and Technology (IJCTT), vol. 38, no. 1, pp. 87-91, 2016. Crossref, https://doi.org/10.14445/22312803/ IJCTT-V38P116

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.

Keywords

Image processing, Leaf color chart, Android studio, digital camera, rice field.

References

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