A New Method to Determine Central Wavelength and Optimal Bandwidth for Predicting Plant Nitrogen Uptake in Winter Wheat
Plant nitrogen (N) uptake is a good indicator of crop N status. In this study, a new method was designed to determine the central wavelength, optimal bandwidth and vegetation indices for predicting plant N uptake (g N m−2) in winter wheat (Triticum aestivum L.). The data were collected from the grou...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2013-05-01
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| Series: | Journal of Integrative Agriculture |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095311913603007 |
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| author | Xin-feng YAO Xia YAO Yong-chao TIAN Jun NI Xiao-jun LIU Wei-xing CAO Yan ZHU |
| author_facet | Xin-feng YAO Xia YAO Yong-chao TIAN Jun NI Xiao-jun LIU Wei-xing CAO Yan ZHU |
| author_sort | Xin-feng YAO |
| collection | DOAJ |
| description | Plant nitrogen (N) uptake is a good indicator of crop N status. In this study, a new method was designed to determine the central wavelength, optimal bandwidth and vegetation indices for predicting plant N uptake (g N m−2) in winter wheat (Triticum aestivum L.). The data were collected from the ground-based hyperspectral reflectance measurements in eight field experiments on winter wheat of different years, eco-sites, varieties, N rates, sowing dates, and densities. The plant N uptake index (PNUI) based on NDVI of 807 nm combined with 736 nm was selected as the optimal vegetation index, and a linear model was developed with R2 of 0.870 and RMSE of 1.546 g N m−2 for calibration, and R2 of 0.834, RMSE of 1.316 g N m−2, slope of 0.934, and intercept of 0.001 for validation. Then, the effect of the bandwidth of central wavelengths on model performance was determined based on the interaction between central wavelength and bandwidth expansion. The results indicated that the optimal bandwidth varies with the changes of the central wavelength and with the interaction between the two bands in one vegetation index. These findings are important for prediction and diagnosis of plant N uptake more precise and accurate in crop management. |
| format | Article |
| id | doaj-art-fb82cc863255482e90f51e507aa299f9 |
| institution | Kabale University |
| issn | 2095-3119 |
| language | English |
| publishDate | 2013-05-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Journal of Integrative Agriculture |
| spelling | doaj-art-fb82cc863255482e90f51e507aa299f92025-08-20T03:58:04ZengKeAi Communications Co., Ltd.Journal of Integrative Agriculture2095-31192013-05-0112578880210.1016/S2095-3119(13)60300-7A New Method to Determine Central Wavelength and Optimal Bandwidth for Predicting Plant Nitrogen Uptake in Winter WheatXin-feng YAO0Xia YAO1Yong-chao TIAN2Jun NI3Xiao-jun LIU4Wei-xing CAO5Yan ZHU6National Engineering and Technology Center for Information Agriculture, Ministry of Industry and Information Technology/Jiangsu Key Laboratory for Information Agriculture, Science and Technology Department of Jiangsu Province/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, Science and Technology Department of Jiangsu Province/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, Science and Technology Department of Jiangsu Province/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, Science and Technology Department of Jiangsu Province/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, Science and Technology Department of Jiangsu Province/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, Science and Technology Department of Jiangsu Province/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, Science and Technology Department of Jiangsu Province/College of Agriculture, Nanjing Agricultural University, Nanjing 210095, P.R. ChinaPlant nitrogen (N) uptake is a good indicator of crop N status. In this study, a new method was designed to determine the central wavelength, optimal bandwidth and vegetation indices for predicting plant N uptake (g N m−2) in winter wheat (Triticum aestivum L.). The data were collected from the ground-based hyperspectral reflectance measurements in eight field experiments on winter wheat of different years, eco-sites, varieties, N rates, sowing dates, and densities. The plant N uptake index (PNUI) based on NDVI of 807 nm combined with 736 nm was selected as the optimal vegetation index, and a linear model was developed with R2 of 0.870 and RMSE of 1.546 g N m−2 for calibration, and R2 of 0.834, RMSE of 1.316 g N m−2, slope of 0.934, and intercept of 0.001 for validation. Then, the effect of the bandwidth of central wavelengths on model performance was determined based on the interaction between central wavelength and bandwidth expansion. The results indicated that the optimal bandwidth varies with the changes of the central wavelength and with the interaction between the two bands in one vegetation index. These findings are important for prediction and diagnosis of plant N uptake more precise and accurate in crop management.http://www.sciencedirect.com/science/article/pii/S2095311913603007central wavelengthoptimal bandwidthplant nitrogen uptakewinter wheat |
| spellingShingle | Xin-feng YAO Xia YAO Yong-chao TIAN Jun NI Xiao-jun LIU Wei-xing CAO Yan ZHU A New Method to Determine Central Wavelength and Optimal Bandwidth for Predicting Plant Nitrogen Uptake in Winter Wheat Journal of Integrative Agriculture central wavelength optimal bandwidth plant nitrogen uptake winter wheat |
| title | A New Method to Determine Central Wavelength and Optimal Bandwidth for Predicting Plant Nitrogen Uptake in Winter Wheat |
| title_full | A New Method to Determine Central Wavelength and Optimal Bandwidth for Predicting Plant Nitrogen Uptake in Winter Wheat |
| title_fullStr | A New Method to Determine Central Wavelength and Optimal Bandwidth for Predicting Plant Nitrogen Uptake in Winter Wheat |
| title_full_unstemmed | A New Method to Determine Central Wavelength and Optimal Bandwidth for Predicting Plant Nitrogen Uptake in Winter Wheat |
| title_short | A New Method to Determine Central Wavelength and Optimal Bandwidth for Predicting Plant Nitrogen Uptake in Winter Wheat |
| title_sort | new method to determine central wavelength and optimal bandwidth for predicting plant nitrogen uptake in winter wheat |
| topic | central wavelength optimal bandwidth plant nitrogen uptake winter wheat |
| url | http://www.sciencedirect.com/science/article/pii/S2095311913603007 |
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