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Digital Agriculture Laboratory
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Digital Agriculture Laboratory | College of Agricultural and Environmental Sciences | College of Engineering

Digital Agriculture Laboratory

College of Agricultural and Environmental Sciences | College of Engineering
  • UC Davis

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  • Home
  • RS Data Base
    • 1- Data Base Content
    • 2- Overview
    • 3- Platforms
      • 3.1. Unmanned Aerial Systems (UAS)
      • 3.2.Manned Aircraft
      • 3.3. Satellite
    • 4- Sensors
      • 4.1.  RGB
      • 4.2. Multispectral
      • 4.3. Hyperspectral
      • 4.4. Thermal
      • 4.5. Lidar
      • 4.6. Radar
      • 4.7. Acoustic
    • 5- Applications
      • 5.1. Water Status
      • 5.2. Disease control
      • 5.3. Yield mapping and prediction
      • 5.4. Nutrient management
      • 5.5. Salinity
      • 5.6. Phenotyping
    • 6- Data processing and analysis
      • 6.1. Preprocessing
        • 6.1.1. Radiometric Calibration
        • 6.1.2. Georeferencing
        • 6.1.3. Mosaicing
        • 6.1.4. Point cloud and Digital Surface Models
      • 6.2. Processing
        • 6.2.1. Noise removal and segmentation
        • 6.2.2. Raw Feature Extraction
      • 6.3. Analytics
        • 6.3.1. Multicollinearity
        • 6.3.2. Feature engineering and feature selection
        • 6.3.3.Data mining
      • 6.4. Regression\classification
    • 7- Course of Action
  • Decision Support Tools
    • GDD Calculator
    • Radiative transfer Modeling
    • When to fly?
  • People
  • Research
  • Publications
  • Extension
  • Galleries
  • Open Positions
  • News
Breadcrumb
  1. Home
  2. People
  3. Ryan A. Omidi
avatar
  • Lab Assistant
  • Former graduate student
  • raomidi@cpp.edu
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  • Last update: July 13, 2021

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