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
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.
Key words：Maize leaf;Nitrogen content;Spectral reflectivity;Prediction model
陈志强，王 磊*，白由路，杨俐苹，卢艳丽，王 贺，王志勇 . 玉米叶片的光谱响应及其氮素含量预测研究 [J]. 光谱学与光谱分析, 2013, 33(04): 1066-1070.
CHEN Zhi-qiang, WANG Lei*, BAI You-lu, YANG Li-ping, LU Yan-li, WANG He, WANG Zhi-yong . Spectral Response of Maize Leaves and Prediction of Their Nitrogen Content. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(04): 1066-1070.
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