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您的检索式：作者名="Mert Dedeoglu"
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| 1 | Determining the Zn Content of Cherry in Field Using VNIR Spectroscopy显示文摘Visible and near-infrared(VNIR)spectroscopy is an eco-friendly method used for estimating plant nutrient deficiencies.The aim of this study was to investigate the possibility of using VNIR method for estimating Zn content in cherry orchard leaves under field conditions.The study was conducted in 3different locations in Isparta region of Turkey.Fifteen cherry orchards containing normal and Zn deficient plants were chosen,and 60 leaf samples were collected from each location.The reflectance spectra of the leaves were measured with an ASD FieldSpec HandHeld spectroradiometer and a plant probe.The Zn contents of leaf samples were predicted through laboratory analysis.The spectral reflectance measurements were used to estimate the Zn levels using stepwise multiple linear regression analysis method.Prediction models were created using the highest coefficient of determination value.The results show that Zn content of cherry trees can be estimated using the VNIR spectroscopic method(87.5 | Mert Dedeoglu Levent Basayigit | 2015 | 光谱学与光谱分析2015，35，2： | 1 |
| 2 | Investigation of N Deficiency in Cherry Trees Using Visible and Near-Infrared Spectra Part of the Spectrum in Field Condition显示文摘This objective of the study was to develop a model for the determination of N deficiency in cherry trees using a combination of visible near infrared methods and spectro-radiometric measurement.In our experimental design,cherry seedlings were grown under various N deficiency conditions in nutrient-controlled containers.The reflectance values of plant leaves were measured using a spectro-radiometer.Plant leaves samples were simultaneously collected.Their nutrient contents were determined in the laboratory.Afterwards,we performed a statistical comparison of the reflectance values.Sample analysis results established the significant wavelengths.Moreover,we received accurate regression models for predicting N deficiency in cherry leaves that were grown in nutrient solutions.Next,we verified the model validity by measuring the reflectance of the leaves collected from cherry orchards at various locations using a spectroradiometer.Nutrient deficiencies were calculated using the developed model,and then,the predicted and measured data were compared to evaluate model validity.From these results,we determined the wavelengths that yielded the most accurate results for N prediction,selected from the blue and green regions of the spectrum.We established that for N prediction in cherry trees,the simplest model can be created using 560and 570nm wavelengths.However,the evaluated model can be applicable only under certain conditions.We concluded that in order to develop aprediction method with sufficient application capacity,as well as the ability to assess nutritional and physiological characteristics,the ecology condition of the plant should be properly considered based on the model. | Levent Basayigit Mert Dedeoglu Hüseyin Akgül Kadir Ucgun Mesut Altindal | 2017 | 光谱学与光谱分析2017，37，1： | 1 |
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