Design and development of a mobile application to investigate leaf nitrogen content with image processing techniques
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Date
2016
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Publisher
Punjab Agricultural University, Ludhiana
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. The present study 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 correctly identifies the leaf color upto six levels.
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Keywords
digital camera, Information Technology, Image processing, mobile application, Computer Science and Engineering, leaf nitrogen content