| Cite this article: | 韩康,于静,李瑞,等.基于光谱特征值反演马铃薯叶片氮累积量[J].灌溉排水学报,0,():-. |
| han,yujing,lirui,et al.基于光谱特征值反演马铃薯叶片氮累积量[J].灌溉排水学报,0,():-. |
|
| |
|
|
| This article has been：Browse 1313Times Download 0Times |
|
|
|
| DOI： |
|
| Inversion of Nitrogen Accumulation in Potato Leaves Based on Spectral Eigenvalues |
|
han1, yujing1, lirui2, fanmingshou1
|
|
1.Inner Mongolia Agricultural University;2.Ordos Soil and Fertilizer and Water-Saving Agriculture Work Station
|
| Abstract: |
| The canopy hyperspectral reflectance information can estimate the growth status of the crop. Among them, the spectral eigenvalues have been successfully applied to the diagnosis of crop nitrogen nutrition and the precise application of nitrogen fertilizer, which can improve the nitrogen use efficiency and reduce environmental pollution. However, the sensitive spectral eigenvalues of nitrogen nutrition monitoring vary with crop types. Potato canopy structure is different from other crops. Whether the sensitive spectral eigenvalues of other crops can be directly used to the nitrogen nutrition diagnose of potato is not yet known. The existing research results mostly focu on the relationship between the spectral parameters in the red border and the nitrogen nutrition indicators of crops. Whether other spectral eigenvalues are closely related to potato nitrogen nutrition is also worth studying. 【Objective】Study the quantitative relationship between various spectral eigenvalues and leaf nitrogen accumulation of drip irrigation potato. 【Methods】In the field of dripping irrigation mode, different potato varieties were selected as test materials with five nitrogen fertilizer levels respectively. The nitrogen application rate was 0,150,300,450,600 kg/hm2. The various spectral eigenvalues and the leaf nitrogen accumulation of potato were determined and correlation analysis and regression analysis at different growth stages were performed. 【Result】The ratio of red edge area to blue edge area [RI(SDr,SDb)] was the most closely related to leaf nitrogen accumulation (LNA) at each growth stage and was the sensitive spectral eigenvalues. The quantitative relationship of RI(SDr, SDb) and LNA were quadratic at 20, 35, 50, and 65 days after emergence, and the optimal monitoring model of whole growth period was the exponential. The best monitoring models for leaf nitrogen accumulation based on RI(SDr, SDb) at 20, 35 days after emergence and the whole growth period could quantitatively describe the leaf nitrogen accumulation of potato under different nitrogen levels, and was monitoring model of nitrogen nutrition status in key growth stages of potato, not affected by growth environment, which R2 was higher than 0.7, and the RMSE ranges are 4.348~8.844, 6.665~17.725, 8.862~17.725 kg/hm2, respectively.【Conclusion】RI(SDr, SDb) could estimate the nitrogen nutrition status of potatoes in key growth periods. |
| Key words: potato; leaf nitrogen accumulation; spectral eigenvalue; monitoring model |
|
|
|
|
|
|
