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Study on Monitoring Methods of Nitrogen Nutrition in Cotton Leaves Based on Android Platform

机译：基于Android平台的棉花叶片氮营养监测方法研究

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In view of the cumbersome, time-consuming and high-cost detection methods of nitrogen contentin 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 usedto 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.
机译：鉴于氮含氮棉花植物的麻烦，耗时和高成本的检测方法，提出了基于Android平台的棉花叶片氮营养监测方法的研究。以开花期为例，使用Android手机获取图像，然后进行图像去噪，颜色校正和图像分割。然后提取棉叶中氮含量的敏感颜色特征，并建立了基于改进的BP算法的氮含量监测模型。最后，开发了基于Android平台的棉叶中氮含量的检测系统。这项研究不仅为氮营养诊断提供了简单，快速和准确的方法，还为未来提供了理性应用氮肥的科学依据。

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