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Study on Predicting Model of Dry Matter Accumulation in Soybean by Leaf Reflectance Spectra

Author: SongYingBo
Tutor: WuXiaoXia;ZhangJingTao
School: Northeast Agricultural University
Course: Crop Genetics and Breeding
Keywords: Vegetation Index Spectral reflectance Dry weight Estimation model
CLC: S565.1
Type: Master's thesis
Year: 2010
Downloads: 44
Quote: 0
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Abstract


Soybean shoot dry matter accumulation is an important symbol of soybean net photosynthesis , the material basis for the formation of the final economic yield . A long time, the conventional method of determination of the amount of dry matter accumulation Daejeon sampling indoor measurement , and the results are relatively accurate , but time consuming , difficult area to carry out certain destructive . In recent years , due to the characteristics of spectral measurements with a simple, fast, non-destructive , in the study of plant physiology, ecology and other aspects of the utilization of the plant spectrometer fairly extensive . At home and abroad for the main crops hyperspectral remote sensing studies have carried out , of which there are a lot of high spectral monitoring study on physiological parameters . Built spectrometer soybean biological model , building model leaf area , aboveground fresh biomass , soybean leaf nitrogen nutrition diagnosis model , but did not predict the dry weight of soybean research . Daejeon measured soybean leaves reflection spectrum and aboveground dry matter weight basis , the study of near-infrared and visible -band spectral reflection rate established soybean aboveground dry matter weight sensitive band the corresponding vegetation index is calculated , and the establishment of vegetation indices and soybean shoot dry mass prediction model . The main findings are as follows : 1 . Within the range of visible wavelengths , aggregate agricultural 60 Select 510nm and 680nm 2 -band spectral reflectance and shoot dry weight was highly significant . In the near - infrared region , select 800nm ??, 900nm and 1005nm 3 bands , 800nm ??and 900nm spectral reflectance and cooperation in agriculture 60 aboveground dry weight showed a highly significant correlation wavelength 1005nm was significant . Four vegetation index after RVI best correlation . RVI vegetation index to establish the model, Y = 4.0216 × RVI2 ( 900,680 ) -99.106 × RVI ( 900,680 ) 625.36 , can be more accurately predict soybean shoot dry matter . And simple, more accurate results fast testing of the dry weight , and also provide the basis for early estimation yields .

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CLC: > Agricultural Sciences > Crop > Economic crops > Oil crops > Soybean
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