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基于数字图像技术的烟草氮素营养诊断研究

钟思荣 龚丝雨 陈仁霄 陶瑶 何宽信 张世川 张启明 刘齐元

江西农业大学学报2017,Vol.39Issue(6):1104-1111,8.
江西农业大学学报2017,Vol.39Issue(6):1104-1111,8.DOI:10.13836/j.jjau.2017143

基于数字图像技术的烟草氮素营养诊断研究

Diagnosis of Nitrogen Nutrition Status of Tobacco based on Digital Image Processing Technique

钟思荣 1龚丝雨 1陈仁霄 2陶瑶 1何宽信 2张世川 1张启明 2刘齐元1

作者信息

  • 1. 江西农业大学 农学院/作物生理生态与遗传育种教育部重点实验室/江西省作物生理生态与遗传育种重点实验室,江西 南昌 330045
  • 2. 江西省烟叶科学研究所,江西 南昌 330025
  • 折叠

摘要

Abstract

In order to rapidly diagnose the nitrogen deficiency in plant and provide theoretical basis for fertilization according to needs,the change in leaf color information under low nitrogen stress was studied. In this study,74 tobacco genotypes were treated with hydroponics in low nitrogen(0.5 mmol/L) and normal nitro-gen(5.0 mmol/L) levels at the seedling stage.The feasibility of digital image technology for the diagnosis of tobacco nitrogen nutrition was discussed by analyzing the image information of upper-middle leaves and the ni-trogen nutrition characters of the tobacco plant.The results showed that the coefficients of variation of R,G,H, S,B,I,r and g color eigenvalues were all less than 15%,which could be used as a stable character index.Com-pared with other color models,the HSI color model was more sensitive to the change of nitrogen.The mean val-ues of leave color R,G,B,H,I,r and g were significantly different at different nitrogen levels and the differ-ences in the mean values of S,b were not significant.The mean values of leave color R,G,B,I,r and b under low nitrogen stress were greater than those under normal nitrogen,while the mean values of leave color H,g ei-genvalues under low nitrogen stress were smaller than those under normal nitrogen.The color eigenvalues R,G were more sensitive than B to predict crop nitrogen nutrition status,and they had a good correlation with nitro-gen nutrition index,while the correlation between color eigenvalues S,b and the nitrogen nutrition index was poor.Digital image technology can accurately evaluate the nitrogen nutrition of tobacco,and it can be applied in different varieties of flue-cured tobacco.

关键词

烟草/数字图像/颜色特征值/氮素

Key words

tobacco/digital image/color eigen value/nitrogen

分类

农业科技

引用本文复制引用

钟思荣,龚丝雨,陈仁霄,陶瑶,何宽信,张世川,张启明,刘齐元..基于数字图像技术的烟草氮素营养诊断研究[J].江西农业大学学报,2017,39(6):1104-1111,8.

基金项目

江西省烟草专卖局科技项目(201401001) Project supported by the Jiangxi Province Tobacco Monopoly Bureau of Science and Technology Projects (201401001) (201401001)

江西农业大学学报

OA北大核心CSCDCSTPCD

1000-2286

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