Color Analysis of Soybean Leaves Based on Computer Vision

Junlong Fang, Lili Ma, Yuehua Chen
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引用次数: 2

Abstract

In this paper we collected the leaves of soybean at the different stages and different nitrogen. this paper studied the leaf images of the six stages of soybean growth, which nitrogen fertilizer applied were 0%,50%,100% and 150%.The current state of development, application and research of the image processing technology are analyzed in this thesis. The color characters of soybean leaves were analyzed using the RGB and the HSI model. Get mean value of RGB and HIS, it will provide a technical basis for the diagnosis of deficiencies and excess of nitrogen for soybean leaves.
基于计算机视觉的大豆叶片颜色分析
本文对不同生育期、不同氮素处理下的大豆叶片进行了采集。研究了施氮量分别为0%、50%、100%和150%的大豆生长6个阶段的叶片图像。本文对图像处理技术的发展、应用和研究现状进行了分析。采用RGB和HSI模型对大豆叶片的颜色特性进行了分析。得到RGB和HIS的平均值,为大豆叶片氮素亏缺和过剩的诊断提供技术依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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