光谱学与光谱分析 |
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Spectral Response of Maize Leaves and Prediction of Their Nitrogen Content |
CHEN Zhi-qiang, WANG Lei*, BAI You-lu, YANG Li-ping, LU Yan-li, WANG He, WANG Zhi-yong |
Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences/Key Laboratory of Plant Nutrition and Fertilizer, Ministry of Agriculture, Beijing 100081, China |
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Abstract In the present study, a 2-year maize field experiment with different fertilizer dose was conducted. The spectral response sensitive area of maize leaves in different levels was discussed using hyperspectral technology at booting stage. Based on the correlation analysis of original reflectivity and its first derivation with maize leaf nitrogen contents, prediction models were constructed. The results indicated that under different fertilizer dose spectral response sensitive areas of maize leaves were in visible band around 550 and 761~1 300 nm; under different levels which was in visible band around 550 nm; maize leaf nitrogen contents were significantly correlated with spectral reflectance and its first derivative in 470~760 nm band. Through further comparison and selection, the index prediction models built with spectral indices DSI(564, 681) and DSI(681, 707) were the best prediction models, the prediction accuracy were 93.43% and 93.39%, therefore nitrogen content of maize leaves could be effectively estimated.
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Received: 2012-08-31
Accepted: 2012-10-30
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Corresponding Authors:
WANG Lei
E-mail: lwang@caas.ac.cn
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[1] Mistele B, Schmidhalter U. European Journal of Agronomy, 2008, 29: 184. [2] Li Fei, Gnyp M L, Jia Liangliang, et al. Field Crops Research, 2008, 106: 77. [3] Jain N, Ray S S, Singh H P, et al. Precision Agric, 2007, 8: 225. [4] Yang Feng, Li Jianlong, Gan Xiaoyu, et al. Computers and Electronics in Agriculture, 2010, 70: 52. [5] ZHU Yan, LI Ying-xue, ZHOU Dong-qin, et al(朱 艳, 李映雪, 周冬琴, 等). Acta Ecologica Sinica(生态学报), 2006, 26(10): 3463. [6] Zhou Qifa, Wang Jihua. Journal of Plant Nutrition, 2003, 26: 607. [7] Graeff S, Claupein W. European Journal of Agronomy, 2003, 19: 611. [8] SONG Hai-xing, LI Sheng-xiu(宋海星, 李生秀). Scientia Agricultura Sinica(中国农业科学), 2003, 36(1): 71. [9] WANG Lei, BAI You-lu, LU Yan-li, et al(王 磊, 白由路, 卢艳丽, 等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2010, 26(2): 218. [10] JIN Ji-yun, BAI You-lu, YANG Li-ping(金继运, 白由路, 杨俐苹). High Efficient Technology and Equipment for Soil Testing(高效土壤养分测试技术与设备). Beijing: China Agriculture Press(北京: 中国农业出版社), 2006. 148. [11] LIU Xiao-jun, TIAN Yong-chao, YAO Xia, et al(刘小军, 田永超, 姚 霞, 等). Scientia Agricultura Sinica(中国农业科学), 2012, 45(3): 435. |
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