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Different Light Intensities On Nicotine, Total Nitrogen Hyper Spectral Monitoring And Quality Impact Study

Posted on:2015-02-15Degree:MasterType:Thesis
Country:ChinaCandidate:W ZhaoFull Text:PDF
GTID:2283330434960393Subject:Tobacco science
Abstract/Summary:PDF Full Text Request
Light plays an important role on the growth of green plants. Tobacco is happy lightplant, the appropriate light is significant to the formation of tobacco quality. Based onfield trials, this study conducted different shade treatment on tobacco: simple shade(85%natural light intensity), double shade (65%natural light intensity), triple shade(45%natural light intensity) and natural light. Using high spectral reflectance andhigh spectral parameters sets up the prediction model. As well as the main conclusionof the indicators of physiological and biochemical are as follows:(1) The main effect of light intensity on the temperature and humidity of shadingtreatment as follows: The temperature of outside net is slightly higher than within thenet in the early growth period, And with the increase in the number of shade layers,the temperature within the net is slightly lower. The temperature within the net issignificantly higher than outside the net in the latter growth period, And with theincrease in the number of shade layers, the temperature within the net is slightlyhigher. Shade treatment had little effect on humidity.(2) The principal effects of different shading treatment on the indicators ofphysiological and biochemical: Moderate shade will increase the content of nicotine,severe shade will reduce the nicotine content to the late harvest; Shading Treatmenton the total nitrogen content in each growth period is as follows: Total nitrogencontent of shade treatment than the control treatment; Shading treatment on the effectof chlorophyll a and chlorophyll a+b is basically the same, as follows: Chlorophyllcontent of shade treatment in all growth period are higher than the control treatmentand shade the more layers the more chlorophyll content,and the more shade layers themore chlorophyll content. Chlorophyll b of shade treatment except60days weresignificantly lower than the controltreatment.It is little different in the rest period.Carotenoids in60days shade treatment higher than the control treatment. Theinfluence of shade treatment on total sugar and reducing sugar is not obvious, theaverage performance of the entire growth period shade than the control in the entiregrowth period; The starch content of shade treatment is less than the control; Shadetreatment on the accumulation of chloride and potassium is as follows: chlorinecontent of shade treatment is lower than the control treatment, and chlorine content oftriple shade remains relatively stable low level. The potassium content is higher than the control in each growth period.(3) The main impact of tobacco quality as follows: shade treatment can reduce thetotal sugar and reducing sugar content, and the effect of moderate shade is moreobvious; Nicotine content in the middle and upper leaves of triple shade is maintainedat1.7. Therefore, total nitrogen content in the middle and upper leaves is higher thanother treatments; The potassium content of different parts in triple shade is higher thanthe control and the chlorine content is the lowest in each shade treatment. The neutralaroma content of shade treatments is lower than the control.(4) By correlation Analysis of nicotine, total nitrogen content and the parameters,the fitting model is set up, By fitting accuracy and root mean square error (RMSE),relative error (RE%) can be drawn NDVI(FD1550,FD700), RVI(FD691,FD711),SAVI(FD1350,FD700) the inspection error of parabolic of three parameters is smaller,better correlation. So they can be used to estimate the nicotine content.NDVI(FD1550,FD700), SAVI(FD1350,FD700), RVI(590,1980) the inspection errorof parabolic of three parameters is smaller, better correlation. So they can be used toestimate the nitrogen content.
Keywords/Search Tags:flue-cured tobacco, hyperspectral, light intensity, nitrogen, nicotine, predictingmodel
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