Showing 1 - 15 results of 15 for search 'PRECISION AGRICULTURE', query time: 0.73s Refine Results
  1. 1
    Estimating the Leaf Nitrogen Content with a New Feature Extracted from the Ultra-High Spectral and Spatial Resolution Images in Wheat
    Subjects: “...precision agriculture...”
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  2. 2
    Estimation of Wheat LAI at Middle to High Levels Using Unmanned Aerial Vehicle Narrowband Multispectral Imagery
    “... and crop growth. Rapid monitoring of LAI is critical in modern precision agriculture. Remote sensing (RS...”
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    Article
  3. 3
    Hyperspectral Estimation of Canopy Leaf Biomass Phenotype per Ground Area Using a Continuous Wavelet Analysis in Wheat
    “...To extend agricultural productivity by knowledge-based breeding and tailoring varieties to adapt...”
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    Article
  4. 4
    HISTIF: A New Spatiotemporal Image Fusion Method for High-Resolution Monitoring of Crops at the Subfield Level
    “... implementation of precision crop management. Existing spatiotemporal image fusion techniques can be helpful...”
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  5. 5
    Exploring novel bands and key index for evaluating leaf equivalent water thickness in wheat using hyperspectra influenced by nitrogen.
    “... management in precision agriculture. Trends in the variation of LEWT in wheat plants during plant growth were...”
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    Article
  6. 6
    AAVI: A Novel Approach to Estimating Leaf Nitrogen Concentration in Rice From Unmanned Aerial Vehicle Multispectral Imagery at Early and Middle Growth Stages
    “...-resolution aerial or satellite images in the context of precision crop management....”
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    Article
  7. 7
    Evaluation of RGB, Color-Infrared and Multispectral Images Acquired from Unmanned Aerial Systems for the Estimation of Nitrogen Accumulation in Rice
    “...Unmanned aerial system (UAS)-based remote sensing is one promising technique for precision crop...”
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    Article
  8. 8
    Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system
    “...-destructive way is useful for making informed decisions on precision crop management. Previous studies have...”
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    Article
  9. 9
    A Comparative Assessment of Different Modeling Algorithms for Estimating Leaf Nitrogen Content in Winter Wheat Using Multispectral Images from an Unmanned Aerial Vehicle
    “... of being able to efficiently collect images for precision agricultural applications. Although numerous...”
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    Article
  10. 10
    Estimation of Nitrogen Nutrition Status in Winter Wheat From Unmanned Aerial Vehicle Based Multi-Angular Multispectral Imagery
    “... fertilizer applications and grain quality prediction in the context of precision crop management. Previous...”
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    Article
  11. 11
    Evaluation of Aboveground Nitrogen Content of Winter Wheat Using Digital Imagery of Unmanned Aerial Vehicles
    “...Nitrogen (N) content is an important basis for the precise management of wheat fields...”
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    Article
  12. 12
    Difference and Potential of the Upward and Downward Sun-Induced Chlorophyll Fluorescence on Detecting Leaf Nitrogen Concentration in Wheat
    “...Precise detection of leaf nitrogen concentration (LNC) is helpful for nutrient diagnosis...”
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    Article
  13. 13
    Evaluation of Six Algorithms to Monitor Wheat Leaf Nitrogen Concentration
    “... is important for precise nitrogen (N) management. Nowadays, there is an urgent need to identify next-generation...”
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    Article
  14. 14
    Extracting Red Edge Position Parameters from Ground- and Space-Based Hyperspectral Data for Estimation of Canopy Leaf Nitrogen Concentration in Rice
    by Yongchao Tian, Xia Yao, Jie Yang, Weixing Cao, Yan Zhu
    Published 2011-01-01
    “...To realize non-destructive and real-time monitoring of crop nitrogen status for precision...”
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    Article
  15. 15
    Analysis of Common Canopy Reflectance Spectra for Indicating Leaf Nitrogen Concentrations in Wheat and Rice
    by Yan Zhu, Yongchao Tian, Xia Yao, Xiaojun Liu, Weixing Cao
    Published 2007-01-01
    “... importance for precise N management and productivity forecasting in field crops. The present study...”
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    Article
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