Recalibrating plant water status of winter wheat based on nitrogen nutrition index using thermal images
文献类型: 外文期刊
作者: Zhao, Ben 1 ; Adama, Traore 1 ; Ata-Ul-Karim, Syed Tahir 3 ; Guo, Yan 4 ; Liu, Zhandong 1 ; Xiao, Junfu 1 ; Liu, Zugui 1 ;
作者机构: 1.Chinese Acad Agr Sci, Farmland Irrigat Res Inst, Key Lab Crop Water Use & Regulat, Minist Agr, Xinxiang, Henan, Peoples R China
2.Chinese Acad Agr Sci, Grad Sch, Beijing, Peoples R China
3.Univ Tokyo, Grad Sch Agr & Life Sci, Bunkyo Ku, 1-1-1 Yayoi, Tokyo 1138657, Japan
4.Henan Acad Agr Sci, Inst Agr Econ & Informat, Zhengzhou 450002, Peoples R China
关键词: Winter wheat; Plant water status; Nitrogen nutrition index; Thermal image
期刊名称:PRECISION AGRICULTURE ( 影响因子:5.385; 五年影响因子:5.004 )
ISSN: 1385-2256
年卷期:
页码:
收录情况: SCI
摘要: Accurate and timely assessment of crop water status is imperative for in-season irrigation scheduling in crop production. The canopy water stress index and water deficit index have been widely used to appraise crop water status using spatial thermal images. However, the inter-relationships of CWSI, WDI and crop nitrogen status have been rarely investigated. Therefore, the present study was conducted to compare the differences between the CWSI and WDI values of winter wheat across different N and irrigation treatments, to examine the effect of crop N status on CWSI and WDI, and to recalibrate the CWSI and WDI values for better assessment of water status in winter wheat using nitrogen nutrition index. The result demonstrated that CWSI and WDI values decreased with the increasing irrigation rates within the same N treatments. However, both indices could not be used for assessing plant water status under different N treatments at the same I treatments. The increase in CWSI and WDI values with decreasing N rates indicated that there is a significant effect of plant N status on CWSI and WDI values. The pure canopy foliage temperature and mixed soil canopy temperature showed a significantly negative relationship with NNI across different N treatments. The recalibrated Tc and Ts values were lower than the original values under the N-limiting treatments. Using the recalibrated Tc and Ts value, the CWSI and WDI values were recalculated, which can better signify plant water status under different N conditions.
- 相关文献
作者其他论文 更多>>
-
MD-Unet for tobacco leaf disease spot segmentation based on multi-scale residual dilated convolutions
作者:Chen, Zili;Peng, Yilong;Wang, Laigang;Guo, Yan;Chen, Zili;Peng, Yilong;Jiao, Jiadong;Lin, Wei;Wang, Laigang;Guo, Yan;Wang, Aiguo
关键词:Deep learning; Tobacco leaf diseases; Lesion segmentation; Convolutional neural networks
-
Improving the Accuracy of Soil Classification by Using Vis-NIR, MIR, and Their Spectra Fusion
作者:Li, Shuo;Shen, Xinru;Shen, Xue;Li, Shuo;Shen, Xinru;Guo, Yan;Shen, Xue;Cheng, Jun;Xu, Dongyun;Makar, Randa S.;Guo, Yan;Hu, Bifeng;Chen, Songchao;Shi, Zhou;Chen, Songchao;Hong, Yongsheng;Peng, Jie
关键词:spectroscopy; proximal sensing; random forest; partial least-squares discriminant analysis (PLSDA); outer product analysis (OPA)
-
Improvement of Winter Wheat Aboveground Biomass Estimation Using Digital Surface Model Information Extracted from Unmanned-Aerial-Vehicle-Based Multispectral Images
作者:Guo, Yan;He, Jia;Zhang, Huifang;Wei, Panpan;Jing, Yuhang;Yang, Xiuzhong;Zhang, Yan;Wang, Laigang;Zheng, Guoqing;Guo, Yan;He, Jia;Zhang, Huifang;Wei, Panpan;Jing, Yuhang;Yang, Xiuzhong;Zhang, Yan;Zheng, Guoqing;Guo, Yan;Yang, Xiuzhong;Zhang, Yan;Zheng, Guoqing;Shi, Zhou;Wang, Laigang
关键词:aboveground biomass; UAV; height; transferability; BP neural network; machine learning
-
A Comprehensive Evaluation of Dual-Polarimetric Sentinel-1 SAR Data for Monitoring Key Phenological Stages of Winter Wheat
作者:Wang, Mo;Cui, Yunpeng;Liu, Juan;Chen, Li;Wang, Ting;Li, Huan;Wang, Mo;Cui, Yunpeng;Liu, Juan;Chen, Li;Wang, Ting;Li, Huan;Wang, Laigang;Guo, Yan;Wang, Laigang;Guo, Yan
关键词:dual-polarimetric SAR; wheat phenology; Sentinel-1; polarimetric parameters
-
Effects of Variety and Growth Stage on UAV Multispectral Estimation of Plant Nitrogen Content of Winter Wheat
作者:Shu, Meiyan;Wang, Zhiyi;Guo, Wei;Qiao, Hongbo;Fu, Yuanyuan;Guo, Yan;Wang, Laigang;Guo, Yan;Wang, Laigang;Ma, Yuntao;Gu, Xiaohe
关键词:winter wheat; variety; unmanned aerial vehicle (UAV); multispectral image; plant nitrogen content (PNC); machine learning
-
Enhancing soil profile analysis with soil spectral libraries and laboratory hyperspectral imaging
作者:Zhou, Yuwei;Li, Shuo;Biswas, Asim;Hong, Yongsheng;Chen, Songchao;Shi, Zhou;Chen, Songchao;Hu, Bifeng;Guo, Yan;Zhou, Yuwei;Guo, Yan;Li, Shuo
关键词:Soil organic carbon; Soil spectral library; Local; Hyperspectral imaging; Profile mapping
-
Effects of the Spatial Resolution of UAV Images on the Prediction and Transferability of Nitrogen Content Model for Winter Wheat
作者:Guo, Yan;He, Jia;Jing, Yuhang;Xu, Shaobo;Wang, Laigang;Li, Shimin;Zheng, Guoqing;Guo, Yan;Wang, Laigang;He, Jia;Xu, Shaobo;Huang, Jingyi;Jing, Yuhang
关键词:UAV; spectral features; texture features; nitrogen content; random forest; model transferability



