• Spectroscopy and Spectral Analysis
  • Vol. 30, Issue 9, 2447 (2010)
SUN Qin-ping*, LI Ji-jin, ZOU Guo-yuan, XIANG Cheng-cai, LUO Yi-ming, and LIU Ben-sheng
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  • [in Chinese]
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    DOI: Cite this Article
    SUN Qin-ping, LI Ji-jin, ZOU Guo-yuan, XIANG Cheng-cai, LUO Yi-ming, LIU Ben-sheng. Nitrogen Status Diagnosis by Using Digital Photography Analysis for Organic Fertilized Maize[J]. Spectroscopy and Spectral Analysis, 2010, 30(9): 2447 Copy Citation Text show less

    Abstract

    It need a relative long term for the maize nitrogen status diagnosis with a destroyed samples taking. In the present research, a pot experiment with different organic fertilizer and different fertilizer amount input was conducted to study the possibility of using digital photography analysis technology to monitor the N status of organic fertilized maize at 10 leaves unfold stage. The results showed that the greenness intensity (GI) and redness intensity (RI) from maize canopy image had significant inverse linear correlations with the conventional N diagnosis parameters of SPAD readings, upland biomass and upland N uptake. However the blueness intensity (BI) had no significant correlations with those maize N indexes. The correlation coefficient values (r) were from 0.40 to 0.45 for GI, and from 0.45 to 0.53 for RI. To sum totally, the visible digital image color analysis method can be used for the organic fertilized maize N diagnosis at 10 leaves unfold stage. The redness intensity was a relatively better index than others for the organic fertilized maize N status diagnosis in this experimental condition.
    SUN Qin-ping, LI Ji-jin, ZOU Guo-yuan, XIANG Cheng-cai, LUO Yi-ming, LIU Ben-sheng. Nitrogen Status Diagnosis by Using Digital Photography Analysis for Organic Fertilized Maize[J]. Spectroscopy and Spectral Analysis, 2010, 30(9): 2447
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