¹School of Information, Huazhong Agricultural University, Wuhan ,430070, China.
²College of Information Engineering, Tarim University, Alaer, Xinjiang, 843300, China.

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Abstract—In view of the cumbersome, time-consuming and high-cost detection methods of nitrogen content in cotton leaves, the research of Monitoring Methods of Nitrogen Nutrition in Cotton Leaves Based on Android Platform was puts forward. Taking flowering period as an example, Android mobile phone was used to obtain images, then image denoising, color correction and image segmentation were carried out. Then sensitive color eigenvalues of nitrogen content in cotton leaf were extracted and analyzed, and monitoring model of nitrogen content based on improved BP algorithm was established. Finally, the detection system based on Android platform for nitrogen contents in cotton leaves was developed. This study not only provides a simple, rapid and accurate method for nitrogen nutrition diagnosis, but also provides a scientific basis for rational application of nitrogen fertilizer in the future.

Index Terms—Android, improved BP model, image technology, monitoring model, Nitrogen content.

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Cite: Yanqun Wang, Guoliang Li, Zhenqi Fan, Xianqiang Gao, "Study on Monitoring Methods of Nitrogen Nutrition in Cotton Leaves Based on Android Platform," Journal of Computers vol. 13, no. 11, pp. 1272-1278, 2018.