Modeling Dynamics of Leaf Color Based on RGB Value in Rice
This paper was to develop a model for simulating the leaf color changes in rice (Oryza sativa L.) based on RGB (red, green, and blue) values. Based on rice experiment data with different cultivars and nitrogen (N) rates, the time-course RGB values of each leaf on main stem were collected during the...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2014-04-01
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| Series: | Journal of Integrative Agriculture |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095311913603913 |
| _version_ | 1819068223853690880 |
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| author | Yong-hui ZHANG Liang TANG Xiao-jun LIU Lei-lei LIU Wei-xing CAO Yan ZHU |
| author_facet | Yong-hui ZHANG Liang TANG Xiao-jun LIU Lei-lei LIU Wei-xing CAO Yan ZHU |
| author_sort | Yong-hui ZHANG |
| collection | DOAJ |
| description | This paper was to develop a model for simulating the leaf color changes in rice (Oryza sativa L.) based on RGB (red, green, and blue) values. Based on rice experiment data with different cultivars and nitrogen (N) rates, the time-course RGB values of each leaf on main stem were collected during the growth period in rice, and a model for simulating the dynamics of leaf color in rice was then developed using quantitative modeling technology. The results showed that the RGB values of leaf color gradually decreased from the initial values (light green) to the steady values (green) during the first stage, remained the steady values (green) during the second stage, then gradually increased to the final values (from green to yellow) during the third stage. The decreasing linear functions, constant functions and increasing linear functions were used to simulate the changes in RGB values of leaf color at the first, second and third stages with growing degree days (GDD), respectively; two cultivar parameters, MatRGB (leaf color matrix) and AR (a vector composed of the ratio of the cumulative GDD of each stage during color change process of leaf n to that during leaf n drawn under adequate N status), were introduced to quantify the genetic characters in RGB values of leaf color and in durations of different stages during leaf color change, respectively; FN (N impact factor) was used to quantify the effects of N levels on RGB values of leaf color and on durations of different stages during leaf color change; linear functions were applied to simulate the changes in leaf color along the leaf midvein direction during leaf development process. Validation of the models with the independent experiment dataset exhibited that the root mean square errors (RMSE) between the observed and simulated RGB values were among 8 to 13, the relative RMSE (RRMSE) were among 8 to 10%, the mean absolute differences (da) were among 3.85 to 6.90, and the ratio of da to the mean observation values (dap) were among 3.04 to 4.90%. In addition, the leaf color model was used to render the leaf color change over growth progress using the technology of visualization, with a good performance on predicting dynamic changes in rice leaf color. These results would provide a technical support for further developing virtual plant during rice growth and development. |
| first_indexed | 2024-12-21T16:30:44Z |
| format | Article |
| id | doaj.art-55507e4d89714877804e0fd0c9df60bc |
| institution | Directory Open Access Journal |
| issn | 2095-3119 |
| language | English |
| last_indexed | 2024-12-21T16:30:44Z |
| publishDate | 2014-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Integrative Agriculture |
| spelling | doaj.art-55507e4d89714877804e0fd0c9df60bc2022-12-21T18:57:20ZengElsevierJournal of Integrative Agriculture2095-31192014-04-01134749759Modeling Dynamics of Leaf Color Based on RGB Value in RiceYong-hui ZHANG0Liang TANG1Xiao-jun LIU2Lei-lei LIU3Wei-xing CAO4Yan ZHU5National Engineering and Technology Center for Information Agriculture, Ministry of Industry and Information Technology/Jiangsu Key Laboratory for Information Agriculture/College of Agriculture, Nanjing Agricultural University, Nanjing 210095, P.R.ChinaNational Engineering and Technology Center for Information Agriculture, Ministry of Industry and Information Technology/Jiangsu Key Laboratory for Information Agriculture/College of Agriculture, Nanjing Agricultural University, Nanjing 210095, P.R.ChinaNational Engineering and Technology Center for Information Agriculture, Ministry of Industry and Information Technology/Jiangsu Key Laboratory for Information Agriculture/College of Agriculture, Nanjing Agricultural University, Nanjing 210095, P.R.ChinaNational Engineering and Technology Center for Information Agriculture, Ministry of Industry and Information Technology/Jiangsu Key Laboratory for Information Agriculture/College of Agriculture, Nanjing Agricultural University, Nanjing 210095, P.R.ChinaNational Engineering and Technology Center for Information Agriculture, Ministry of Industry and Information Technology/Jiangsu Key Laboratory for Information Agriculture/College of Agriculture, Nanjing Agricultural University, Nanjing 210095, P.R.ChinaCorrespondence ZHU Yan, Tel: +86-25-84396598, Fax: +86-25-84396672; National Engineering and Technology Center for Information Agriculture, Ministry of Industry and Information Technology/Jiangsu Key Laboratory for Information Agriculture/College of Agriculture, Nanjing Agricultural University, Nanjing 210095, P.R.ChinaThis paper was to develop a model for simulating the leaf color changes in rice (Oryza sativa L.) based on RGB (red, green, and blue) values. Based on rice experiment data with different cultivars and nitrogen (N) rates, the time-course RGB values of each leaf on main stem were collected during the growth period in rice, and a model for simulating the dynamics of leaf color in rice was then developed using quantitative modeling technology. The results showed that the RGB values of leaf color gradually decreased from the initial values (light green) to the steady values (green) during the first stage, remained the steady values (green) during the second stage, then gradually increased to the final values (from green to yellow) during the third stage. The decreasing linear functions, constant functions and increasing linear functions were used to simulate the changes in RGB values of leaf color at the first, second and third stages with growing degree days (GDD), respectively; two cultivar parameters, MatRGB (leaf color matrix) and AR (a vector composed of the ratio of the cumulative GDD of each stage during color change process of leaf n to that during leaf n drawn under adequate N status), were introduced to quantify the genetic characters in RGB values of leaf color and in durations of different stages during leaf color change, respectively; FN (N impact factor) was used to quantify the effects of N levels on RGB values of leaf color and on durations of different stages during leaf color change; linear functions were applied to simulate the changes in leaf color along the leaf midvein direction during leaf development process. Validation of the models with the independent experiment dataset exhibited that the root mean square errors (RMSE) between the observed and simulated RGB values were among 8 to 13, the relative RMSE (RRMSE) were among 8 to 10%, the mean absolute differences (da) were among 3.85 to 6.90, and the ratio of da to the mean observation values (dap) were among 3.04 to 4.90%. In addition, the leaf color model was used to render the leaf color change over growth progress using the technology of visualization, with a good performance on predicting dynamic changes in rice leaf color. These results would provide a technical support for further developing virtual plant during rice growth and development.http://www.sciencedirect.com/science/article/pii/S2095311913603913riceleaf colorRGBdynamic simulationvisualization |
| spellingShingle | Yong-hui ZHANG Liang TANG Xiao-jun LIU Lei-lei LIU Wei-xing CAO Yan ZHU Modeling Dynamics of Leaf Color Based on RGB Value in Rice Journal of Integrative Agriculture rice leaf color RGB dynamic simulation visualization |
| title | Modeling Dynamics of Leaf Color Based on RGB Value in Rice |
| title_full | Modeling Dynamics of Leaf Color Based on RGB Value in Rice |
| title_fullStr | Modeling Dynamics of Leaf Color Based on RGB Value in Rice |
| title_full_unstemmed | Modeling Dynamics of Leaf Color Based on RGB Value in Rice |
| title_short | Modeling Dynamics of Leaf Color Based on RGB Value in Rice |
| title_sort | modeling dynamics of leaf color based on rgb value in rice |
| topic | rice leaf color RGB dynamic simulation visualization |
| url | http://www.sciencedirect.com/science/article/pii/S2095311913603913 |
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