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Remote Sensing Science

Remote Sensing Science is an international comprehensive professional academic journal of Ivy Publisher, concerning the development of remote sensing science and technology. The main focus of the journal is the academic papers and comments of latest improvement in the fields of basic theory, technology development and application of remote sensing science, report of latest research result, aiming at providing a good communication platform to tran... [More] Remote Sensing Science is an international comprehensive professional academic journal of Ivy Publisher, concerning the development of remote sensing science and technology. The main focus of the journal is the academic papers and comments of latest improvement in the fields of basic theory, technology development and application of remote sensing science, report of latest research result, aiming at providing a good communication platform to transfer, share and discuss the theoretical and technical development of remote-sensing theory development for professionals, scholars, researchers and administrative staffs in this field, reflecting the academic front level, promote academic change and seize the theory, practice front line, research level and development direction of remote sensing science.

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ISSN Print:2329-8138

ISSN Online:2329-8146

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Paper Infomation

Remote Sensing Inversion of Nitrogen Nutrition Status of Apple Tree Leaves during Stopping Period of Spring Shoots

Full Text(PDF, 487KB)

Author: Tianlin Liu, Xicun Zhu, Xueyuan Bai, Yufeng Peng, Zhongyu Tian, Meixuan Li, Yuanmao Jiang

Abstract: The nutrient inversion model of apple leaves was established by spectral analysis technology to provide technical support for the fine management of apple trees. In Shuangquan Town, Changqing District, Jinan City, Shandong Province, the Fuji apple trees with stopping period of spring shoots were taken as research objects. The spectral reflectance and nitrogen content of apple leaves were measured by ASD Field Spec 4 portable ground object spectrometer. Analyzed the correlation between leaf nitrogen content and spectral reflectance. The sensitive wavelengths with high correlation coefficient were select by fractional differential algorithm, and the optimal vegetation index was constructed and screened out. Partial Least Square Regression (PLSR), Support Vector Machine (SVM) and Random Forests (RF) method were used to construct an inversion model of leaf nitrogen content. The results show that the RF model based on fractional differential second-order treatment is the best inversion model for the nitrogen content of leaves during stopping period of spring shoots. The modeling accuracy determination coefficient R2 reached 0.891, RMSE was 0.0841, and RPD was 2.1396. The determination coefficient R2 of the fitting results of the verification set was 0.617, RMSE was 0.1251, and RPD was 1.7105. The inversion model established by RF method is effective in monitoring the nitrogen content in apple leaves, which provides a theoretical basis for monitoring the growth of apple by hyperspectral technology.

Keywords: Apple Tree, Stopping Period of Spring Shoots, Nitrogen Nutrition, Remote Sensing Inversion

References:

[1] Shanshan WEI, Xiangyu WANG, Jiwang ZHANG, et al. The role of nitrogen in leaf senescence of summer maize and analysis of underlying mechanisms using comparative proteomics[J]. Plant Science, 2015, 233:72-81.

[2] Zhaoxin LIU, Feng GAO, Jianqun YANG, et al. Photosynthetic Characteristics and Uptake and Translocation of Nitrogen in Peanut in a Wheat–Peanut Rotation System Under Different Fertilizer Management Regimes. Frontiers in plant science, 2019. 10.

[3] Darvishzadeh R., Atzberger C., Skidmore A., et al.Mapping grassland leaf area index with airborne hyperspectralimagery: a comparison study of statistical approaches and inversionof radiative transfer models. ISPRS J. Photogramm. Remote Sens, 2011.66, 894-906.

[4] Koppe W, Li Fei, Gnyp M L., et al. Evaluating Multispectral and Hyperspectral Satellite Remote Sensing Data for Estimating Winter Wheat Growth Parameters at Regional Scale in the North China Plain[J]. Photogrammetrie Fernerkundung Geoinformation, 2010, 2010(3):167-178

[5] Lijun YIN, Haicheng XU, Shuxin DONG, et al. Optimised nitrogen allocation favours improvement in canopy photosynthetic nitrogen-use efficiency: Evidence from late-sown winter wheat. Environmental and Experimental Botany, 2019. 159: p. 75-86.

[6] Shuaibing LIU, Guijun YANG, Haitao JING, et al.Inversion of Nitrogen Content in Winter Wheat Based on UAV Digital Images [J]. Journal of Agricultural Engineering, 2019, 35(11):75-85.

[7] Keru WANG, Wenchao PAN, Shaokun LI, et al. Study on Hyperspectral Characteristics of Cotton Canopy under Different Nitrogen Rates[J]. Spectroscopy and Spectral Analysis, 2011,31(07):1868-1872.

[8] Huabing WU, Yan ZHU, Yongchao TIAN, et al. Quantitative relationship between cotton canopy hyperspectral index and leaf nitrogen accumulation [J]. Acta Agronomica Sinica, 2007(03):518-522.

[9] Shuai, FENG, Tongyu XU, Fenghua YU, et al. Research on Inversion Method of Nitrogen Content in Canopy Leaf of Northeast Japonica Rice Based on UAV Hyperspectral Remote Sensing[J]. Spectroscopy and Spectral Analysis, 2019,39(10):3281-3287.

[10] Junxu SHEN, Shan HUANG, Yuanfang FAN, et al. Nitrogen Accumulation and Spectral Characteristics of of monoculture soybean leaves[J]. Acta Agronomica Sinica, 2017,43(12):1835-1844.

[11] Xiaohui SHEN, Cheng JIANG, Jingtao ZHANG, et al. Correlation between Spectral Reflectance and Chlorophyll Content of Soybean Leaves under Different Nitrogen Levels[J]. Soybean Science. ,2012,31(01):73-75+80.

[12] Jing ZHANG, Yu ZHANG, Haiqing TIAN. Remote Sensing Estimation of Nitrogen in Beet Leaves Based on Hyperspectral Imaging Technology[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2018,57(06):103-112.

[13] G LI, Z. S. ZHANG, H. Y. GAO, et al. Effects of nitrogen on photosynthetic characteristics of leaves from two different stay-green corn (Zea mays L.) varieties at the grain-filling stage[J]. Canadian Journal of Plant Science, 2012,92(4):671-680.

[14] Dongxing XING, Qingrui CHANG. Study on Estimation of Total Nitrogen, Total Phosphorus and Total Potassium in Fruit Tree Leaves Based on Spectral Analysis——Taking Red Fuji Apple Tree as an Example[J]. Journal of Northwest A & F University(Natural Science Edition), 2009,37(2):141-147.

[15] Xicun ZHU, Gengxing ZHAO, Ruiyan WANG, et al. Hyperspectral characteristics and pigment content monitoring of apple leaves[J]. Scientia Agricultura Sinica, 2010,43(06):1189-1197.

[16] Pengyao DIWU, Xihui BIAN, Zifang WANG, et al. Study on Selection of Spectral Pretreatment Methods[J]. Spectroscopy and Spectral Analysis, 2019,39(09):2800-2806.

[17] Fangfang MA, Dandan JIN, Huanmin MO. Theoretical analysis of Grunwald-Letnikov fractional derivative. Natural Science Journal of Harbin Normal University, 2011,27(03):32-34.

[18] Qingjiu TIAN, Xiangjun MIN. Research Progress of Vegetation Index[J]. Advances in Earth Science, 1998(04):10-16.

[19] Weixia DUAN, Y. SHI, J. ZHAO, et al. Depth of nitrogen fertiliser placement affects nitrogen accumulation, translocation and nitrate-nitrogen content in soil of rainfed wheat. International Journal of Plant Production, 2015,9:p.2.

[20] Lijuan LIU, Futian PENG, Xinliang WANG. Effects of Bag-controlled Release Fertilizer on Nitrogen Utilization Rate, Growth and Fruiting of the 'Fuji' Apple. Journal of Plant Nutrition, 2010,33(13):1904-1913.

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