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Satellite Remote Sensing-Based In-Season Diagnosis of Rice Nitrogen Status in Northeast China

Shanyu Huang, Yuxin Miao, Guangming Zhao, Fei Yuan, Xiaobo Ma, Chuanxiang Tan, Weifeng Yu, Martin Gnyp, Victoria Lenz-Wiedemann, Uwe Rascher, Georg Bareth
2015 Remote Sensing  
Rice farming in Northeast China is crucially important for China's food security and sustainable development.  ...  The objective of this study was to evaluate the potential of using FORMOSAT-2 satellite images to diagnose rice N status for guiding topdressing N OPEN ACCESS Remote Sens. 2015, 7 10647 application at  ...  Science Foundation of China (31421092), the European Aeronautic Defense and Space Company (EADS), the CHN-2152, 14-0039 SINOGRAIN project and the Sino-UK Newton AgriTech Remote Sensing for Sustainable  ... 
doi:10.3390/rs70810646 fatcat:2jeeown6jneexeang2jbwvpnum

Improving Unmanned Aerial Vehicle Remote Sensing-Based Rice Nitrogen Nutrition Index Prediction with Machine Learning

Hainie Zha, Yuxin Miao, Tiantian Wang, Yue Li, Jing Zhang, Weichao Sun, Zhengqi Feng, Krzysztof Kusnierek
2020 Remote Sensing  
Nondestructive crop growth monitoring based on remote sensing technologies can accurately assess crop N status, which may be used to guide the in-season site-specific N recommendations.  ...  It is concluded that the RF machine learning regression can significantly improve the estimation of rice N status using UAV remote sensing.  ...  Discussion Estimating Rice N Status Indicators Using Single Vegetation Index Using UAV-based remote sensing for in-season crop N status diagnosis and guiding variable rate N application is very attractive  ... 
doi:10.3390/rs12020215 fatcat:hf5he3nfnrgwhkl4dl6u7lloxq

Active Optical Sensing of Spring Maize for In-Season Diagnosis of Nitrogen Status Based on Nitrogen Nutrition Index

Tingting Xia, Yuxin Miao, Dali Wu, Hui Shao, Rajiv Khosla, Guohua Mi
2016 Remote Sensing  
We conclude that the response indices calculated with the GreenSeeker-based vegetation indices can be used to estimate spring maize NNI non-destructively and for in-season N status diagnosis between V7  ...  The objectives of this study were to: (i) validate a newly established critical N dilution curve for spring maize in Northeast China; (ii) determine the potential of using the GreenSeeker active optical  ...  The Northeast China Plain accounts for 35% of the total maize production in China [23] . To improve the diagnosis of spring maize N status in this region, Li et al.  ... 
doi:10.3390/rs8070605 fatcat:psqbewtlgnekxkvyg7gyvlml2i

ABS volume 8 issue 2 Cover and Front matter

2017 Advances in Animal Biosciences  
Proximal fluorescence sensing for in-season diagnosis of rice nitrogen status 343 Lu, J., Miao, Y., Shi, W., Li, J., Wan, J., Gao, X., Zhang, J. and Zha, H.  ...  Mapping Optimum Nitrogen Crop Uptake 322 Zhang, J., Miao, Y. and Batchelor, W. D. Evaluation of the CERES-Rice Model for Precision Nitrogen Management for Rice in Northeast China 328 Bonfil, D.  ...  An uncertainty-based comprehensive decision support system for site-specific crop management RoboWeedSupport -Presentation of a cloud based system bridging the gap between in-field weed inspections and  ... 
doi:10.1017/s204047001700142x fatcat:ctwz56m3l5eutflghhl3ls5by4

Potential of RapidEye and WorldView-2 Satellite Data for Improving Rice Nitrogen Status Monitoring at Different Growth Stages

Shanyu Huang, Yuxin Miao, Fei Yuan, Martin Gnyp, Yinkun Yao, Qiang Cao, Hongye Wang, Victoria Lenz-Wiedemann, Georg Bareth
2017 Remote Sensing  
For in-season site-specific nitrogen (N) management of rice to be successful, it is crucially important to diagnose rice N status efficiently across large areas within a short time frame.  ...  Ten site-year N rate experiments were conducted in Jiansanjiang, Heilongjiang Province of Northeast China from 2008 to 2011.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs9030227 fatcat:i2grjswg7bbl5fzq3p2mh2luum

Canopy Fluorescence Sensing for in-Season Maize Nitrogen Status Diagnosis

Rui Dong, Yuxin Miao, Xinbing Wang, Fei Yuan, Krzysztof Kusnierek
2021 Remote Sensing  
Accurate assessment of crop nitrogen (N) status and understanding the N demand are considered essential in precision N management.  ...  –0.87), showing a good potential of canopy fluorescence sensing for N status estimation.  ...  Satellite remote sensing-based in-season diagnosis of rice nitrogen status in Northeast China. Remote Sens. 2015, 7, 10646–10667. [CrossRef] 13.  ... 
doi:10.3390/rs13245141 fatcat:xkukvgp7hnaxxo4afuv7p4oqxa

Developing an Active Canopy Sensor-Based Integrated Precision Rice Management System for Improving Grain Yield and Quality, Nitrogen Use Efficiency, and Lodging Resistance

Junjun Lu, Hongye Wang, Yuxin Miao, Liqin Zhao, Guangming Zhao, Qiang Cao, Krzysztof Kusnierek
2022 Remote Sensing  
or satellite remote sensing technologies for large-scale applications.  ...  Two field experiments were conducted from 2011 to 2013 at Jiansanjiang Experiment Station of China Agricultural University in Heilongjiang, China, involving four rice management systems and two varieties  ...  Acknowledgments: We would like to thank Yuan Gao, Wen Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs14102440 fatcat:ssexhhia7zhdnbushnmfawxeuq

Estimation of Rice Aboveground Biomass by Combining Canopy Spectral Reflectance and Unmanned Aerial Vehicle-Based Red Green Blue Imagery Data

Zhonglin Wang, Yangming Ma, Ping Chen, Yonggang Yang, Hao Fu, Feng Yang, Muhammad Ali Raza, Changchun Guo, Chuanhai Shu, Yongjian Sun, Zhiyuan Yang, Zongkui Chen (+1 others)
2022 Frontiers in Plant Science  
Estimating the aboveground biomass (AGB) of rice using remotely sensed data is critical for reflecting growth status, predicting grain yield, and indicating carbon stocks in agroecosystems.  ...  Combining multisource remotely sensed data from the ground and UAV technology provides new solutions and ideas for rice biomass acquisition.  ...  Satellite imagery and polarimetric radar data were combined to improve the estimation model of rice biomass on the Sanjiang Plain in Heilongjiang Province, Northeast China (Koppe et al., 2013) .  ... 
doi:10.3389/fpls.2022.903643 pmid:35712565 pmcid:PMC9197132 fatcat:nrgb42h7nbbr7ltl6gnqqatxxe

A comparative review of the state and advancement of Site-Specific Crop Management in the UK and China

Zhenhong LI, James TAYLOR, Lynn FREWER, Chunjiang ZHAO, Guijun YANG, Zhenhai LI, Zhigang LIU, Rachel GAULTON, Daniel WICKS, Hugh MORTIMER, Xiao CHENG, Chaoqing YU (+1 others)
2019 Frontiers of Agricultural Science and Engineering  
The current state-of-the art is reviewed with an emphasis on developments in position system technology and satellite-based remote sensing.  ...  PA involves data collection, data analysis and information management, all of which are supported by technological advances in positioning systems, sensor design, remote sensing systems, computer processing  ...  This article is a review and does not contain any studies with human or animal subjects performed by any of the authors.  ... 
doi:10.15302/j-fase-2018240 fatcat:7busyk5lqrf7zdrrlnleldth5q

Estimating Plant Nitrogen Concentration of Maize using a Leaf Fluorescence Sensor across Growth Stages

Rui Dong, Yuxin Miao, Xinbing Wang, Zhichao Chen, Fei Yuan, Weina Zhang, Haigang Li
2020 Remote Sensing  
The implementation of proximal and remote sensing technologies in precision agriculture has provided new opportunities for non-destructive and real-time diagnosis of crop N status and precision N management  ...  rates in Northeast China in 2016 and 2017.  ...  We also would like to thank the local farmers for their cooperation in this research. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs12071139 fatcat:du6i3ys7i5bjlnbybgnme5aznq

Use of an Active Canopy Sensor Mounted on an Unmanned Aerial Vehicle to Monitor the Growth and Nitrogen Status of Winter Wheat

Jie Jiang, Zeyu Zhang, Qiang Cao, Yan Liang, Brian Krienke, Yongchao Tian, Yan Zhu, Weixing Cao, Xiaojun Liu
2020 Remote Sensing  
To sum it up, the UAV-mounted active sensor system is able to rapidly monitor the growth and N nutrition status of winter wheat and can be deployed for UAV-based remote-sensing of crops.  ...  Using remote sensing to rapidly acquire large-area crop growth information (e.g., shoot biomass, nitrogen status) is an urgent demand for modern crop production; unmanned aerial vehicle (UAV) acts as an  ...  Conflicts of Interest: The authors declare no conflict of interest. Remote Sens. 2020, 12, 3684  ... 
doi:10.3390/rs12223684 fatcat:25rnltvo6zadxihevq4wlu34ma

Evaluation of RGB, Color-Infrared and Multispectral Images Acquired from Unmanned Aerial Systems for the Estimation of Nitrogen Accumulation in Rice

Hengbiao Zheng, Tao Cheng, Dong Li, Xiang Zhou, Xia Yao, Yongchao Tian, Weixing Cao, Yan Zhu
2018 Remote Sensing  
Unmanned aerial system (UAS)-based remote sensing is one promising technique for precision crop management, but few studies have reported the applications of such systems on nitrogen (N) estimation with  ...  these three sensors in estimating leaf nitrogen accumulation (LNA) and plant nitrogen accumulation (PNA) in rice.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs10060824 fatcat:ypsjsiiwtrfxbov2izvjh3lhpm

Assessment of Vegetation Trends in Drylands from Time Series of Earth Observation Data [chapter]

Rasmus Fensholt, Stephanie Horion, Torbern Tagesson, Andrea Ehammer, Kenneth Grogan, Feng Tian, Silvia Huber, Jan Verbesselt, Stephen D. Prince, Compton J. Tucker, Kjeld Rasmussen
2015 Remote Sensing Time Series  
References Acknowledgements We greatly acknowledge support by the German Federal Ministry for Economic Affairs and Energy (BMWi) in the frame of the Sense Carbon project (Project no. 50EE1254).  ...  Ministry of Education and Research (BMBF) in the frame of the funding measure "Sustainable Land Management".  ...  Challenges for Remote Sensing Based Time Series Analysis Challenges for remote sensing based time series analysis can be categorized according to the cause of the challenge.  ... 
doi:10.1007/978-3-319-15967-6_8 fatcat:2cl5kwf33zg7hl2k3syukjpa6q

Long-term experiments for sustainable nutrient management in China. A review

Yuxin Miao, Bobby A. Stewart, Fusuo Zhang
2010 Agronomy for Sustainable Development  
needs to be replaced by a responsive in-season management approach based on diagnosis of crop growth, N status and demand.  ...  A crop sensor-based in-season site-specific N management strategy was able to increase Nuptake efficiency by 368% over farmers' practices in the North China Plain.  ...  needs to be replaced by a responsive in-season management approach based on diagnosis of crop growth and N status and demand.  ... 
doi:10.1051/agro/2010034 fatcat:3dmhfmomubh47iblqbq5dexh6q

Progress in Agricultural Unmanned Aerial Vehicles (UAVs) Applied in China and Prospects for Poland

Linlin Wang, Xinrong Huang, Wanjian Li, Kangting Yan, Yifang Han, Yali Zhang, Lucjan Pawlowski, Yubin Lan
2022 Agriculture  
The spraying of agricultural UAVs and related pest-disease-defense services applied in China are also suitable for Poland's decentralized, small-scale production modes.  ...  With the acceleration of the Belt and Road Initiative, Poland–China agricultural trade has increasingly strengthened, but there is little exchange or cooperation in agricultural machinery.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/agriculture12030397 fatcat:2xwjgrbmcfgk7f44a5fmn3phu4
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