Study the Spatial-Temporal Variation of Wheat Growth Under Different Site-Specific Nitrogen Fertilization Approaches
文献类型: 外文期刊
作者: Cui, Bei 1 ; Huang, Wenjiang 1 ; Song, Xiaoyu 3 ; Ye, Huichun 1 ; Dong, Yingying 1 ;
作者机构: 1.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China
2.Key Lab Earth Observat, Sanya 572029, Hainan, Peoples R China
3.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
关键词: Site-specific N fertilization; Winter wheat; Spatial-temporal variation
期刊名称:COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE XI, PT I
ISSN: 1868-4238
年卷期: 2019 年 545 卷
页码:
收录情况: SCI
摘要: Many variable fertilization approaches based on 'real-time' crop N status were developed for making N fertilizer management in precision agriculture. Unfortunately, to date, only few papers reported the effect of variable fertilization algorithms on the spatial and temporal variability of crop parameters. Based on these problems, this study designed three different variable fertilization algorithms based on vegetation index (Y), SPAD (S) and crop growth model (Z), respectively, with uniform fertilization and no fertilization as controls. Results showed that wheat growth had strong spatial dependence, which become stronger after fertilization. Wheat yield also had strong spatial dependence. There were some similar spatial distribution between NDVIs, soil TN and yield, indicating that spatial variability of yield had strong relationship with crop growth status and soil TN content. The site-specific fertilization treatment based on crop growth model (Z) had the best adjustment capacity to promote crop growth and yield, and reduce their spatial variation, compared with other fertilization treatments.
- 相关文献
作者其他论文 更多>>
-
Field-scale irrigated winter wheat mapping using a novel cross-region slope length index in 3D canopy hydrothermal and spectral feature space
作者:Zhang, Youming;Yang, Guijun;Li, Zhenhong;Liu, Miao;Zhang, Jing;Gao, Meiling;Zhu, Wu;Zhang, Youming;Yang, Guijun;Yang, Xiaodong;Song, Xiaoyu;Long, Huiling;Liu, Miao;Meng, Yang;Thenkabail, Prasad S.;Wu, Wenbin;Zuo, Lijun;Meng, Yang
关键词:Winter wheat; Irrigation mapping; Hydrothermal and spectral feature; Cross-region; Rainfed line; Slope Length Index
-
Inversion of biophysical parameters of potato based on an active learning pool-based sampling strategy
作者:Ma, Yuanyuan;Song, Xiaoyu;Pan, Di;Feng, Haikuan;Yang, Guijun;Sun, Heguang;Zheng, Chunkai;Li, Pingping;Qiu, Chunxia;Zhang, Jie;Ma, Yuanyuan
关键词:PROSAIL radiative transfer model; look-up table (LUT); active learning; hybrid methods; Euclidean distance-based diversity (EBD) algorithm
-
Multi-variety monitoring of potato late blight severity using UAV data with improved SMOTE-CS for small sample modeling and deep feature learning
作者:Sun, Heguang;Mai, Huanming;Deng, Xiaoling;Feng, Ziheng;Feng, Haikuan;Yang, Guijun;Song, XiaoYu;Mao, Yanzhi;Li, Qingquan;Guo, Mei;Guo, Wei
关键词:Potato late blight; Remote sensing; SMOTE-CS; Deep learning; Transfer learning
-
Dynamic UAV data fusion and deep learning for improved maize phenological-stage tracking
作者:Feng, Ziheng;Zhao, Jiliang;Suo, Liunan;Feng, Ziheng;Sun, Heguang;Long, Huiling;Yang, Hao;Song, Xiaoyu;Feng, Haikuan;Xu, Bo;Yang, Guijun;Zhao, Chunjiang
关键词:Near real-time; Maize phenology; Deep learning; UAV; Multi-source data fusion
-
Remote sensing of quality traits in cereal and arable production systems: A review
作者:Li, Zhenhai;Fan, Chengzhi;Li, Zhenhai;Zhao, Yu;Song, Xiaoyu;Yang, Guijun;Jin, Xiuliang;Casa, Raffaele;Huang, Wenjiang;Blasch, Gerald;Taylor, James;Li, Zhenhong
关键词:Remote sensing; Quality traits; Grain protein; Cereal
-
Estimation of Peanut Southern Blight Severity in Hyperspectral Data Using the Synthetic Minority Oversampling Technique and Fractional-Order Differentiation
作者:Sun, Heguang;Shu, Meiyan;Yue, Jibo;Guo, Wei;Sun, Heguang;Zhang, Jie;Feng, Ziheng;Feng, Haikuan;Song, Xiaoyu;Zhou, Lin
关键词:peanut southern blight; SMOTE; hyperspectral reflectance; machine learning; FOD
-
Rice yield and quality estimation coupling hierarchical linear model with remote sensing
作者:Xue, Hanyu;Xu, Xingang;Zhu, Qingzhen;Li, Yafeng;Xue, Hanyu;Xu, Xingang;Meng, Yang;Long, Huiling;Li, Heli;Song, Xiaoyu;Yang, Guijun;Yang, Min;Li, Yafeng;Jiang, Xiangtai
关键词:Hierarchical linear model; Rice yield and quality; Estimation model



