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应用数字图像分析技术进行棉花氮素营养诊断的研究
Diagnosis of cotton N status using digital image analysis technique
【摘要】 本文利用图像分析技术并结合常规观测手段,研究应用图像分析技术诊断棉花氮素营养状况的可行性及获取的光谱参数与表征棉花氮素营养状况的生物学参数之间的关系。结果表明:棉花在不同时期特征光谱参数与棉花含氮量及叶片含氮量呈显著相关,其中盛蕾期棉花全氮含量与光谱参数的相关性最好,在盛花期棉花叶片含氮量与光谱参数的相关系数最高,G/(G+R+B)可作为氮素营养诊断的指标。在棉花全生育期内,地面覆盖度与棉花叶面积指数、生物量及吸氮量呈显著相关,在出苗至盛花期之间达极显著相关。经检验,地面覆盖度可很好地预测棉花的叶面积指数、生物量及吸氮量,相对误差分别为26.2%、3.46%和3.37%。
【Abstract】 This paper is an investigation of the possibility of N nutrition diagnosis in cotton plant,using digital image analysis of digital camera shots,and researches into the relationships between spectral and biology parameters,which could denote cotton N status.The results show a significant linear correlation between feature spectral parameters and total N concentration in cotton plant.The same holds true for the relationship of cotton leaf N concentration.The best relationship between spectral parameters and total N concentration occurs during full-budding stage.However,at full-flowering stage,regression coefficient between spectral parameters and cotton leaf N concentration is the best.G/(G+R+B)parameter can be considered an important indictor of N status diagnosis.Results of the experiment show that ground-canopy coverage percent and LAI,biomass and accumulation of absorbed N,significantly correlate for the entire cotton growth stage.From sprouting to full-flowering,the correlation hits a high level of significance(P<0.01).At last the test results indicate that ground-canopy coverage percent has a better estimation precision for LAI,biomass and accumulated absorbed N,and with a relative error percent of 26.2%,3.46% and 3.37%,respectively.
【Key words】 Digital image analysis technique; Cotton; N element; Nutrition diagnosis; Percent of ground-canopy coverage; Leaf area index; Biomass; Accumulated absorbed N;
- 【文献出处】 中国生态农业学报 ,Chinese Journal of Eco-Agriculture , 编辑部邮箱 ,2008年01期
- 【分类号】S562
- 【被引频次】68
- 【下载频次】489