1.6 KiB
1.6 KiB
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