Hyperspectral Estimation of Nitrogen Content in Winter Wheat Leaves Based on Unmanned Aerial Vehicles

被引：0
|
作者：
Liu Mingxing [1 ,2 ,3 ,4 ]
Li Changchun [1 ]
Feng Haikuan [2 ,3 ,4 ]
Pei Haojie [1 ,2 ,3 ,4 ]
Li Zhenhai [2 ,3 ,4 ]
Yang Fuqin [5 ]
Yang Guijun [2 ,3 ,4 ]
Xu Shouzhi [6 ]
机构：
[1] Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo 454000, Henan, Peoples R China
[2] Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
[3] Minist Agr, Key Lab Informat Technol Agr, Beijing 100097, Peoples R China
[4] Beijing Engn Res Ctr Agr Internet Things, Beijing 100097, Peoples R China
[5] Henan Inst Engn, Coll Civil Engn, Zhengzhou 451191, Peoples R China
[6] Natl Calibrat Ctr Surveying Instruments, Beijing 100039, Peoples R China
来源：
COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE XI, CCTA 2017, PT II | 2019年 / 546卷
基金：
中国国家自然科学基金;
关键词：
Unmanned aerial vehicles; Hyperspectral; Winter wheat; Leaf nitrogen content; Partial least squares method; REFLECTANCE;
D O I：
10.1007/978-3-030-06179-1_33
中图分类号：
S2 [农业工程];
学科分类号：
0828 ;
摘要：
Leaf nitrogen content is an important index of crop growth and plays an important role in crop growth and development. In this paper, the hyperspectral data of winter wheat and the leaf nitrogen content is used to study winter wheat on flagging stage, flowering stage and grain filling stage. The estimation model of nitrogen content in winter wheat leaves at different growth stages is constructed by using partial least squares method and verified by using a cross-validation method. The results showed that R2 and the RMSE of the three growth stages were 0.53, 0.68, 0.64 and 0.331%, 0.246% and 0.406% respectively, and R2 and RMSE of model validation were 0.44, 0.71, 0.64 and 0.369%, 0.235% and 0.410%. Both the prediction model and the verification model had high reliability. Therefore, it is feasible for UAV to carry hyperspectral monitoring system for retrieving nitrogen content of winter wheat leaves.
引用
收藏
页码：321 / 339
页数：19
相关论文
共 50 条
  • [21] Monitoring of winter wheat nitrogen nutrition based on UAV hyperspectral images
    Wang Y.
    Li F.
    Wang W.
    Chen X.
    Chang Q.
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2020, 36 (22): : 31 - 39
  • [22] Estimation of leaf nitrogen content in winter wheat based on continuum removal and discrete wavelet transform
    Zhang, Juanjuan
    Wang, Weiwei
    Qiao, Hongbo
    Xu, Chaoyue
    Guo, Jianbiao
    Si, Haiping
    Wang, Jian
    Xiong, Shuping
    Ma, Xinming
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2023, 44 (18) : 5523 - 5547
  • [23] A double-layer model for improving the estimation of wheat canopy nitrogen content from unmanned aerial vehicle multispectral imagery
    Zhen-qi, Liao
    Yu-long, Dai
    Han, Wang
    Ketterings, Quirine M.
    Jun-sheng, Lu
    Fu-cang, Zhang
    Zhi-jun, Li
    Jun-liang, Fan
    JOURNAL OF INTEGRATIVE AGRICULTURE, 2023, 22 (07) : 2248 - 2270
  • [24] Estimation of Grain Protein Content in Winter Wheat by Using Three Methods with Hyperspectral Data
    Xiu-liang Jin
    Xin-gang Xu
    Hai-kuan Feng
    Xiao-yu Song
    Qian Wang
    Wang, Ji-hua
    Guo, Wen-shan
    INTERNATIONAL JOURNAL OF AGRICULTURE AND BIOLOGY, 2014, 16 (03) : 498 - 504
  • [25] Retrieval of Nitrogen Content in Apple Canopy Based on Unmanned Aerial Vehicle Hyperspectral Images Using a Modified Correlation Coefficient Method
    Li, Meixuan
    Zhu, Xicun
    Li, Wei
    Tang, Xiaoying
    Yu, Xinyang
    Jiang, Yuanmao
    SUSTAINABILITY, 2022, 14 (04)
  • [26] Unmanned-Aerial-Vehicle-Based Multispectral Monitoring of Nitrogen Content in Canopy Leaves of Processed Tomatoes
    Zhang, Hao
    Zhang, Li
    Wu, Hongqi
    Wang, Dejun
    Ma, Xin
    Shao, Yuqing
    Jiang, Mingjun
    Chen, Xinyu
    AGRICULTURE-BASEL, 2025, 15 (03):
  • [27] Hyperspectral Estimation of Winter Wheat Leaf Water Content Based on Fractional Order Differentiation and Continuous Wavelet Transform
    Li, Changchun
    Xiao, Zhen
    Liu, Yanghua
    Meng, Xiaopeng
    Li, Xinyan
    Wang, Xin
    Li, Yafeng
    Zhao, Chenyi
    Ren, Lipeng
    Yang, Chen
    Jiao, Yinghua
    AGRONOMY-BASEL, 2023, 13 (01):
  • [28] Chlorophyll and nitrogen content in leaves of winter wheat at different genotypes and fertilization
    Uzík, M
    Zofajová, A
    ROSTLINNA VYROBA, 2000, 46 (06): : 237 - 244
  • [29] Rapid prediction of winter wheat yield and nitrogen use efficiency using consumer-grade unmanned aerial vehicles multispectral imagery
    Liu, Jikai
    Zhu, Yongji
    Tao, Xinyu
    Chen, Xiaofang
    Li, Xinwei
    FRONTIERS IN PLANT SCIENCE, 2022, 13
  • [30] Estimating Winter Wheat Canopy Chlorophyll Content Through the Integration of Unmanned Aerial Vehicle Spectral and Textural Insights
    Miao, Huiling
    Zhang, Rui
    Song, Zhenghua
    Chang, Qingrui
    REMOTE SENSING, 2025, 17 (03)
12345