کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4508563 | 1321609 | 2011 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Estimation of Rice Protein Content Using Ground-Based Hyperspectral Remote Sensing
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
علوم زراعت و اصلاح نباتات
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Estimation of Rice Protein Content Using Ground-Based Hyperspectral Remote Sensing Estimation of Rice Protein Content Using Ground-Based Hyperspectral Remote Sensing](/preview/png/4508563.png)
چکیده انگلیسی
Ground-based hyperspectral remote sensing was applied to rice plants a week before harvesting in order to estimate the protein content of brown rice. When the accuracy was predicted through a full cross-validation, a 2007 model was estimated with R2 = 0.626, RMSEP = 0.311%, REP = 3.95% and a 2008 model was estimated with R2 = 0.819, RMSEP = 0.188%, and REP = 2.68%. When one model was used for prediction using the other year's data, the prediction error increased twice or more because the tendencies of the regression coefficients were different between the 2007 and 2008 models. When model prediction accuracy using two years' data was calculated by full cross-validation, R2, RMSEP, and REP were 0.850, 0.247% and 3.32%, respectively.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering in Agriculture, Environment and Food - Volume 4, Issue 3, 2011, Pages 71-76
Journal: Engineering in Agriculture, Environment and Food - Volume 4, Issue 3, 2011, Pages 71-76
نویسندگان
Hiroyuki Onoyama, Chanseok Ryu, Masahiko Suguri, Michihisa Iida,