• 1. Introduction
  • 1.1. Further reading
• 2. Smallholder agriculture
  • 2.1. The primary food production process
  • 2.2. The biophysical environment
  • 2.3. The socio-economic environment
  • 2.4. Farm practices
  • 2.5. The governance pyramid
  • 2.6. The farm inputs pyramid
  • 2.7. The farm outputs pyramid
  • 2.8. References
• 3. Remote sensing technology
  • 3.1. Introduction
    • 3.1.1. Multispectral and panchromatic images
    • 3.1.2. Platforms and orbits
    • 3.1.3. Sensors
  • 3.2. Platforms
    • 3.2.1. Digital Globe
    • 3.2.2. RapidEye/Blackbridge
    • 3.2.3. Landsat
    • 3.2.4. SPOT
    • 3.2.5. PlanetLabs
    • 3.2.6. Other satellites and upcoming missions
    • 3.2.7. Sentinel satellites
  • 3.3. References
• 4. Potential uses of remote sensing in smallholder context
  • 4.1. Farm characteristics
    • 4.1.1. Delineating farm boundaries: why is it important?
    • 4.1.2. Delineating farm boundaries
  • 4.2. Monitoring crop growth and performance
    • 4.2.1. Vegetation indices
    • 4.2.2. fCover
    • 4.2.3. Crop height
    • 4.2.4. Soil Moisture
  • 4.3. Crop identification
  • 4.4. Yield estimation
  • 4.5. References
• 5. UAV technology
  • 5.1. Platforms
  • 5.2. Flight planning
    • 5.2.1. Defining the mission area
    • 5.2.2. Establishing ground control points
    • 5.2.3. Determining flight parameters
    • 5.2.4. UAV operation
  • 5.3. Images and processing routines
    • 5.3.1. Adding and aligning/stitching photos
    • 5.3.2. Point cloud generation
    • 5.3.3. Deriving a Digital Surface Model
    • 5.3.4. Generating orthophotos
  • 5.4. References
• 6. Field data collection
  • 6.1. Field level surveys
    • 6.1.1. Farm characteristics
    • 6.1.2. Crop development information
    • 6.1.3. Biophysical characteristics
    • 6.1.4. Farm management practices
  • 6.2. Measurement equipment
    • 6.2.1. Locational
    • 6.2.2. Measuring crop growth
  • 6.3. Measurement protocols
  • 6.4. References
• 7. Image analysis
  • 7.1. Automated image processing workflow
    • 7.1.1. Mosaicking
    • 7.1.2. Atmospheric correction
    • 7.1.3. Masking
    • 7.1.4. Geometric correction
    • 7.1.5. Image co-registration
    • 7.1.6. Extracting statistical moments
  • 7.2. Algorithmic approaches
    • 7.2.1. Classification techniques
      • 7.2.1.1. Unsupervised classification
      • 7.2.1.2. Supervised classification
    • 7.2.2. Classification approaches
      • 7.2.2.1. Pixel-based classification
      • 7.2.2.2. Sub-pixel classification
      • 7.2.2.3. Object-based image analysis
    • 7.2.3. Classification algorithms
      • 7.2.3.1. Parametric algorithms
      • 7.2.3.2. Non-parametric algorithms
  • 7.3. References