| 光谱学与光谱分析 |
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| 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 |
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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.
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Received: 2008-08-26
Accepted: 2008-11-28
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Corresponding Authors:
FAN Ming-sheng
E-mail: fanms@cau.edu.cn
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