Showing 1 - 20 results of 28 for search 'INFORMATION TECHNOLOGY IN AGRICULTURE', query time: 1.56s Refine Results
  1. 1
    Enhancing the Nitrogen Signals of Rice Canopies across Critical Growth Stages through the Integration of Textural and Spectral Information from Unmanned Aerial Vehicle (UAV) Multispectral Imagery
    “...This paper evaluates the potential of integrating textural and spectral information from unmanned...”
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    Article
  2. 2
    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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    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
    Early Detection of Powdery Mildew Disease and Accurate Quantification of Its Severity Using Hyperspectral Images in Wheat
    “...Early detection of the crop disease using agricultural remote sensing is crucial as a precaution...”
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    Article
  5. 5
    An automatic method for counting wheat tiller number in the field with terrestrial LiDAR
    “... in this paper made full use of 3D crop information and developed an automatic tiller counting method...”
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    Article
  6. 6
    Evaluation of One-Class Support Vector Classification for Mapping the Paddy Rice Planting Area in Jiangsu Province of China from Landsat 8 OLI Imagery
    “... rice productivity. Timely and accurate extraction of rice distribution can bring vital information...”
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    Article
  7. 7
    Evaluation of Aboveground Nitrogen Content of Winter Wheat Using Digital Imagery of Unmanned Aerial Vehicles
    “.... The application of unmanned aerial vehicles (UAVs) in agriculture provides an easier and faster way to monitor...”
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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
    Evaluation of Three Techniques for Correcting the Spatial Scaling Bias of Leaf Area Index
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    Article
  10. 10
    AAVI: A Novel Approach to Estimating Leaf Nitrogen Concentration in Rice From Unmanned Aerial Vehicle Multispectral Imagery at Early and Middle Growth Stages
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    Article
  11. 11
    Generating Red-Edge Images at 3 M Spatial Resolution by Fusing Sentinel-2 and Planet Satellite Products
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  12. 12
    HISTIF: A New Spatiotemporal Image Fusion Method for High-Resolution Monitoring of Crops at the Subfield Level
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  13. 13
    Estimation of Nitrogen Nutrition Status in Winter Wheat From Unmanned Aerial Vehicle Based Multi-Angular Multispectral Imagery
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  14. 14
    Estimation of area- and mass-based leaf nitrogen contents of wheat and rice crops from water-removed spectra using continuous wavelet analysis
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  15. 15
    Evaluation of RGB, Color-Infrared and Multispectral Images Acquired from Unmanned Aerial Systems for the Estimation of Nitrogen Accumulation in Rice
    “..., providing useful information for the real-time decision making on crop N management....”
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    Article
  16. 16
    Combining Remote Sensing and Meteorological Data for Improved Rice Plant Potassium Content Estimation
    “... to better manage crop K nutrition. To improve RS of crop K, meteorological information might prove useful...”
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    Article
  17. 17
    Assessing the Spectral Properties of Sunlit and Shaded Components in Rice Canopies with Near-Ground Imaging Spectroscopy Data
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    Article
  18. 18
    Assessing the Impact of Spatial Resolution on the Estimation of Leaf Nitrogen Concentration Over the Full Season of Paddy Rice Using Near-Surface Imaging Spectroscopy Data
    “... spectroscopy is emerging as a promising technology that can collect hyperspectral images with spatial...”
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    Article
  19. 19
    Estimation of Vertical Leaf Nitrogen Distribution Within a Rice Canopy Based on Hyperspectral Data
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    Article
  20. 20
    Estimation of Canopy Biomass Components in Paddy Rice from Combined Optical and SAR Data Using Multi-Target Gaussian Regressor Stacking
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    Article
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