Nitrogen Status Diagnosis of Rice by Using a Digital Camera
JIA Liang-liang1, 2, FAN Ming-sheng1*, ZHANG Fu-suo1, CHEN Xin-ping1,Lü Shi-hua3, SUN Yan-ming2
1. College of Resources and Environment Sciences, China Agricultural University, Beijing 100193, China 2. Institute of Agro-Resources and Environment, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang 050051, China 3. Institute of Soil Science and Fertilizer, Sichuan Academy of Agriculture Science, Chengdu 610066, China
Abstract：In the present research, a field experiment with different N application rate was conducted to study the possibility of using visible band color analysis methods to monitor the N status of rice canopy. The Correlations of visible spectrum band color intensity between rice canopy image acquired from a digital camera and conventional nitrogen status diagnosis parameters of leaf SPAD chlorophyll meter readings, total N content, upland biomass and N uptake were studied. The results showed that the red color intensity (R), green color intensity (G) and normalized redness intensity (NRI) have significant inverse linear correlations with the conventional N diagnosis parameters of SPAD readings, total N content, upland biomass and total N uptake. The correlation coefficient values (r) were from -0.561 to -0.714 for red band (R), from -0.452 to -0.505 for green band (G), and from -0.541 to 0.817 for normalized redness intensity (NRI). But the normalized greenness intensity (NGI) showed a significant positive correlation with conventional N parameters and the correlation coefficient values (r) were from 0.505 to 0.559. Compared with SPAD readings, the normalized redness intensity (NRI), with a high r value of 0.541-0.780 with conventional N parameters, could better express the N status of rice. The digital image color analysis method showed the potential of being used in rice N status diagnosis in the future.
Key words：Digital image;Color intensity;Rice;Nitrogen status diagnosis
贾良良1, 2,范明生1*,张福锁1,陈新平1,吕世华3,孙彦铭2 . 应用数码相机进行水稻氮营养诊断[J]. 光谱学与光谱分析, 2009, 29(08): 2176-2179.
JIA Liang-liang1, 2, FAN Ming-sheng1*, ZHANG Fu-suo1, CHEN Xin-ping1,Lü Shi-hua3, SUN Yan-ming2 . Nitrogen Status Diagnosis of Rice by Using a Digital Camera. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2009, 29(08): 2176-2179.
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