# Smart agriculture

## Present state and history

- Urban smart agriculture
- Evolution of agriculture
- Smart agriculture: agriculture with ICT
- Benefits
    - Informed decision
    - In depth analysis
    - All kinds of monitoring, supply chain, crop, water, environmental1
        - Crop monitoring: the systematic observation and assessment of crops
          throughout their growth cycle to improve productivity and make
          informed decisions
        - Water management: optimize crop yield while minimizing waste of water
          resource
        - Plant disease identification: helps in crop yield improvement
        - Precision agriculture: promise better yield, and less water and
          fertizers
        - Environment monitoring: schedule irrigation, and crop protection for
          bad weather
- Data sources
    - Terrestial network
    - LAP layer
    - HAP layer
    - Sattleite layer
- Using AI to automate and interpret data: ML, DL
- Challenges:
    - Data security
    - Network
    - Device threats
    - Privacy

## Summaey

- Earth observations are time series data that offer intelligence to climate and
  agriculture to make these smart.
    - Rely on connected airborne platforms and surface based platforms
- Climate study is connected with change detection
- Hard to determine change agent
- Smart agriculture: the most promising to benefit from Earth obervation
- 7 areas:
    - Supply chain
    - Crop monitoring
    - Water management
    - Precision agriculture
    - Environment monitoring
    - Soil health monitoring
    - Livestock management
- Generate big data, hard for manual use, but good for AI
