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Satellite Remote Sensing-Based In-Season Diagnosis of Rice Nitrogen Status in Northeast China
2015
Remote Sensing
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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
2020
Remote Sensing
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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
2016
Remote Sensing
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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
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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
2017
Remote Sensing
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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
2021
Remote Sensing
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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
2022
Remote Sensing
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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
2022
Frontiers in Plant Science
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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
2019
Frontiers of Agricultural Science and Engineering
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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
2020
Remote Sensing
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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
2020
Remote Sensing
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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
2018
Remote Sensing
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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]
2015
Remote Sensing Time Series
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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
2010
Agronomy for Sustainable Development
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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
2022
Agriculture
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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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